Dynamo
Patch 2026-09-29.
Summary
Win rate 52.0% ± 0.3 (n=95,954). Grade A. vs average +2.0 pp.
Kills / deaths / assists per game: 4.1 / 5.8 / 15.8. Net worth per minute: 1,123.3. Average match length: 36.4 min.
Lane highlights: this patch, all ranks, clean matches, all purchases. Ranked by observed match win rate among assigned-lane opponents with enough games; differences use this hero's overall rate in the same population.
Best observed lane opponent: Warden — 61.5% (likely range 58.5% to 64.5%), +9.5 pp vs hero overall, 1,011 games.
Worst observed lane opponent: Seven — 45.8% (likely range 44.6% to 47.1%), -6.2 pp vs hero overall, 6,268 games.
Top items and bottom items by phase
- Bought before 10 min
Top items:
Sprint Boots +0.8 pp,
Extra Stamina +1.0 ppBottom items:
Monster Rounds -1.2 pp,
Headshot Booster -0.5 pp- 10–20 min
Top items:
Warp Stone +1.6 pp,
Duration Extender +1.2 pp,
Enchanter's Emblem +1.0 ppBottom items:
Enduring Speed -1.7 pp,
Rapid Recharge -0.8 pp,
Headhunter -1.3 pp- 20 min or later
Top items:
Spirit Burn +2.0 pp,
Indomitable +1.2 pp,
Superior Duration +0.6 ppBottom items:
Boundless Spirit -2.5 pp, Transcendent Cooldown -1.7 pp,
Tankbuster -1.6 pp
Ranked by the low end of each likely range, from items with enough games. See Win rate impact below for the full tables.
View the most popular and highest win rate builds for this hero.
By rank tier
Show the rank table
| Tier | Games | Win rate | Pick share | Ban rate |
|---|---|---|---|---|
| All tiers | 95,954 | 52.0% ± 0.3 (n=95,954) | 2.1% (n=4,643,618) | 1.7% (n=387,129) |
| 1 Initiate | 6,628 | 51.5% ± 1.2 (n=6,628) | 2.3% (n=286,633) | 1.3% (n=26,191) |
| 2 Seeker | 12,669 | 51.1% ± 0.9 (n=12,669) | 2.2% (n=567,145) | 1.2% (n=53,624) |
| 3 Acolyte | 11,870 | 52.1% ± 0.9 (n=11,870) | 2.2% (n=538,601) | 1.1% (n=49,318) |
| 4 Sentinel | 9,970 | 51.2% ± 1.0 (n=9,970) | 2.2% (n=454,663) | 1.1% (n=40,935) |
| 5 Mystic | 8,674 | 52.7% ± 1.1 (n=8,674) | 2.1% (n=412,948) | 0.9% (n=37,362) |
| 6 Ritualist | 8,805 | 51.4% ± 1.0 (n=8,805) | 2.1% (n=417,480) | 1.0% (n=36,413) |
| 7 Emissary | 8,211 | 53.2% ± 1.1 (n=8,211) | 2.0% (n=403,465) | 1.0% (n=36,580) |
| 8 Oracle | 10,510 | 53.7% ± 1.0 (n=10,510) | 1.9% (n=546,368) | 2.6% (n=42,649) |
| 9 Phantom | 7,199 | 53.1% ± 1.2 (n=7,199) | 1.7% (n=432,077) | 3.8% (n=40,417) |
| 10 Ascendant | 3,215 | 52.7% ± 1.7 (n=3,215) | 1.5% (n=213,670) | 3.3% (n=16,821) |
| 11 Eternus | 953 | 50.1% ± 3.2 (n=953) | 1.2% (n=78,077) | 5.0% (n=6,819) |
Win rate by match length
Show the match length table
| Match length | Win rate |
|---|---|
| under 30 min | 52.6% ± 0.8 (n=16,422) |
| 30–40 min | 52.1% ± 0.4 (n=53,519) |
| 40 min or more | 51.4% ± 0.6 (n=26,013) |
Win rate impact
Show the win rate impact tables
Computed 2026-10-23 00:36 UTC. All ranks, clean matches.
Bought before 10 min
| Item | Comparison tier | Bought in | Win rate when bought | Win rate impact | Likely range | Distinct matches | Data covered | Evidence |
|---|---|---|---|---|---|---|---|---|
| Tier 1 / 10 alternatives (group 1) | 45.2% | 53.1% ± 0.5 (n=43,386) | +0.8 pp | +0.4 to +1.2 pp | 95,126 | 100.0% | likely helps | |
| Tier 1 / 10 alternatives (group 1) | 23.0% | 53.4% ± 0.7 (n=22,090) | +1.0 pp | +0.4 to +1.6 pp | 95,126 | 100.0% | likely helps | |
| Tier 1 / 10 alternatives (group 1) | 73.9% | 52.0% ± 0.4 (n=70,900) | -0.0 pp | -0.2 to +0.1 pp | 95,126 | 100.0% | unclear | |
| Tier 1 / 10 alternatives (group 1) | 23.5% | 52.0% ± 0.7 (n=22,546) | +0.1 pp | -0.5 to +0.6 pp | 95,126 | 100.0% | unclear | |
| Tier 1 / 10 alternatives (group 1) | 11.2% | 52.7% ± 0.9 (n=10,776) | +0.3 pp | -0.6 to +1.2 pp | 95,126 | 100.0% | unclear | |
| Tier 1 / 10 alternatives (group 1) | 49.4% | 51.8% ± 0.4 (n=47,397) | -0.2 pp | -0.6 to +0.2 pp | 95,126 | 100.0% | unclear | |
| Tier 1 / 10 alternatives (group 1) | 35.6% | 52.4% ± 0.5 (n=34,199) | -0.1 pp | -0.7 to +0.5 pp | 95,126 | 100.0% | unclear | |
| Tier 1 / 10 alternatives (group 1) | 45.7% | 51.4% ± 0.5 (n=43,870) | -0.5 pp | -1.1 to -0.0 pp | 95,126 | 100.0% | likely hurts | |
| Tier 1 / 10 alternatives (group 1) | 13.1% | 51.2% ± 0.9 (n=12,581) | -0.3 pp | -1.4 to +0.7 pp | 95,126 | 100.0% | unclear | |
| Tier 1 / 10 alternatives (group 1) | 10.2% | 51.2% ± 1.0 (n=9,816) | -1.2 pp | -2.2 to -0.1 pp | 95,126 | 100.0% | likely hurts | |
| Tier 2 / 4 alternatives (group 2) | 40.1% | 54.2% ± 0.5 (n=38,466) | +0.2 pp | -0.1 to +0.5 pp | 51,427 | 88.5% | unclear | |
| Tier 2 / 4 alternatives (group 2) | 13.5% | 53.8% ± 0.9 (n=12,960) | -0.2 pp | -1.0 to +0.7 pp | 51,427 | 88.5% | unclear | |
| Tier 2 / 4 alternatives (group 2) | 11.4% | 55.0% ± 0.9 (n=10,975) | +0.5 pp | -1.1 to +2.1 pp | 51,427 | 88.5% | unclear | |
| Tier 2 / 4 alternatives (group 2) | 22.2% | 53.7% ± 0.7 (n=21,348) | -0.5 pp | -1.1 to +0.1 pp | 51,427 | 88.5% | unclear | |
| Tier 2 / 4 alternatives (group 2) | 6.6% | 52.8% ± 1.2 (n=6,285) | — | — | 51,427 | 88.5% | not enough data | |
| Tier 2 / 4 alternatives (group 2) | 0.2% | 55.8% ± 7.7 (n=156) | — | — | 51,427 | 88.5% | not enough data | |
| Tier 2 / 4 alternatives (group 2) | 0.2% | 52.7% ± 6.8 (n=201) | — | — | 51,427 | 88.5% | not enough data | |
| Stalker | Tier 2 / 4 alternatives (group 2) | 0.3% | 49.4% ± 6.1 (n=257) | — | — | 51,427 | 88.5% | not enough data |
| Tier 2 / 4 alternatives (group 2) | 0.8% | 52.2% ± 3.5 (n=786) | — | — | 51,427 | 88.5% | not enough data | |
| Tier 2 / 4 alternatives (group 2) | 0.0% | insufficient data (n=3) | — | — | 51,427 | 88.5% | not enough data | |
| Tier 3 / 1 alternatives (group 3) | 18.8% | 53.0% ± 0.7 (n=17,999) | — | — | 17,994 | 100.0% | not enough data | |
| Tier 3 / 1 alternatives (group 3) | 0.0% | insufficient data (n=32) | — | — | 17,994 | 100.0% | not enough data | |
| Tier 3 / 1 alternatives (group 3) | 0.1% | insufficient data (n=87) | — | — | 17,994 | 100.0% | not enough data | |
| Tier 3 / 1 alternatives (group 3) | 0.1% | insufficient data (n=50) | — | — | 17,994 | 100.0% | not enough data | |
| Tier 3 / 1 alternatives (group 3) | 0.0% | insufficient data (n=5) | — | — | 17,994 | 100.0% | not enough data | |
| Express Shot | Tier 3 / 1 alternatives (group 3) | 0.0% | insufficient data (n=3) | — | — | 17,994 | 100.0% | not enough data |
| Cultist Sacrifice | Tier 3 / 1 alternatives (group 3) | 2.3% | 52.8% ± 2.1 (n=2,249) | — | — | 17,994 | 100.0% | not enough data |
| Tier 3 / 1 alternatives (group 3) | 5.8% | 55.1% ± 1.3 (n=5,580) | — | — | 17,994 | 100.0% | not enough data | |
| Tier 3 / 1 alternatives (group 3) | 0.0% | insufficient data (n=4) | — | — | 17,994 | 100.0% | not enough data | |
| Tier 3 / 1 alternatives (group 3) | 0.0% | insufficient data (n=14) | — | — | 17,994 | 100.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=27) | — | — | 0 | 0.0% | not enough data | |
| Transcendent Cooldown | Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=1) | — | — | 0 | 0.0% | not enough data |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=2) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=1) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=4) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=2) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=1) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=2) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=1) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=5) | — | — | 0 | 0.0% | not enough data |
10–20 min
| Item | Comparison tier | Bought in | Win rate when bought | Win rate impact | Likely range | Distinct matches | Data covered | Evidence |
|---|---|---|---|---|---|---|---|---|
| Tier 1 / 4 alternatives (group 1) | 10.7% | 52.4% ± 1.0 (n=10,303) | +0.9 pp | +0.1 to +1.7 pp | 51,925 | 100.0% | likely helps | |
| Tier 1 / 4 alternatives (group 1) | 38.4% | 52.0% ± 0.5 (n=36,806) | +0.1 pp | -0.1 to +0.4 pp | 51,925 | 100.0% | unclear | |
| Tier 1 / 4 alternatives (group 1) | 11.9% | 50.1% ± 0.9 (n=11,381) | -1.0 pp | -1.7 to -0.2 pp | 51,925 | 100.0% | likely hurts | |
| Tier 1 / 4 alternatives (group 1) | 11.0% | 50.8% ± 1.0 (n=10,512) | -0.9 pp | -1.9 to +0.0 pp | 51,925 | 100.0% | unclear | |
| Tier 2 / 9 alternatives (group 2) | 28.6% | 54.1% ± 0.6 (n=27,396) | +1.2 pp | +0.8 to +1.7 pp | 85,689 | 100.0% | likely helps | |
| Tier 2 / 9 alternatives (group 2) | 17.0% | 53.0% ± 0.8 (n=16,290) | +1.0 pp | +0.4 to +1.6 pp | 85,689 | 100.0% | likely helps | |
| Tier 2 / 9 alternatives (group 2) | 14.1% | 52.5% ± 0.8 (n=13,527) | +0.6 pp | -0.2 to +1.3 pp | 85,689 | 100.0% | unclear | |
| Tier 2 / 9 alternatives (group 2) | 34.0% | 52.2% ± 0.5 (n=32,594) | +0.0 pp | -0.4 to +0.4 pp | 85,689 | 100.0% | unclear | |
| Tier 2 / 9 alternatives (group 2) | 19.7% | 52.9% ± 0.7 (n=18,858) | -0.2 pp | -0.8 to +0.4 pp | 85,689 | 100.0% | unclear | |
| Tier 2 / 9 alternatives (group 2) | 11.4% | 51.1% ± 0.9 (n=10,958) | -0.1 pp | -1.2 to +1.0 pp | 85,689 | 100.0% | unclear | |
| Tier 2 / 9 alternatives (group 2) | 29.2% | 51.1% ± 0.6 (n=28,030) | -0.7 pp | -1.2 to -0.3 pp | 85,689 | 100.0% | likely hurts | |
| Tier 2 / 9 alternatives (group 2) | 10.6% | 52.5% ± 1.0 (n=10,133) | -1.1 pp | -2.1 to -0.0 pp | 85,689 | 100.0% | likely hurts | |
| Tier 2 / 9 alternatives (group 2) | 15.9% | 51.3% ± 0.8 (n=15,256) | -1.7 pp | -2.4 to -1.0 pp | 85,689 | 100.0% | likely hurts | |
| Tier 3 / 7 alternatives (group 3) | 32.3% | 54.7% ± 0.6 (n=30,986) | +1.6 pp | +1.2 to +2.1 pp | 81,976 | 100.0% | likely helps | |
| Tier 3 / 7 alternatives (group 3) | 13.1% | 55.4% ± 0.9 (n=12,558) | +0.2 pp | -0.7 to +1.0 pp | 81,976 | 100.0% | unclear | |
| Tier 3 / 7 alternatives (group 3) | 15.1% | 56.0% ± 0.8 (n=14,502) | +0.1 pp | -0.7 to +0.9 pp | 81,976 | 100.0% | unclear | |
| Tier 3 / 7 alternatives (group 3) | 20.5% | 55.5% ± 0.7 (n=19,713) | -0.1 pp | -0.7 to +0.5 pp | 81,976 | 100.0% | unclear | |
| Tier 3 / 7 alternatives (group 3) | 45.4% | 51.8% ± 0.5 (n=43,581) | -0.8 pp | -1.2 to -0.4 pp | 81,976 | 100.0% | likely hurts | |
| Tier 3 / 7 alternatives (group 3) | 13.1% | 54.5% ± 0.9 (n=12,564) | -1.1 pp | -2.0 to -0.3 pp | 81,976 | 100.0% | likely hurts | |
| Tier 3 / 7 alternatives (group 3) | 15.2% | 50.4% ± 0.8 (n=14,614) | -1.3 pp | -2.3 to -0.4 pp | 81,976 | 100.0% | likely hurts | |
| Tier 1 / 4 alternatives (group 1) | 0.0% | insufficient data (n=25) | — | — | 51,925 | 100.0% | not enough data | |
| Tier 1 / 4 alternatives (group 1) | 0.3% | 46.2% ± 5.7 (n=292) | — | — | 51,925 | 100.0% | not enough data | |
| Tier 1 / 4 alternatives (group 1) | 0.5% | 46.8% ± 4.5 (n=468) | — | — | 51,925 | 100.0% | not enough data | |
| Tier 1 / 4 alternatives (group 1) | 0.2% | 51.2% ± 7.4 (n=170) | — | — | 51,925 | 100.0% | not enough data | |
| Tier 1 / 4 alternatives (group 1) | 0.0% | insufficient data (n=47) | — | — | 51,925 | 100.0% | not enough data | |
| Tier 1 / 4 alternatives (group 1) | 0.3% | 51.1% ± 5.8 (n=278) | — | — | 51,925 | 100.0% | not enough data | |
| Tier 2 / 9 alternatives (group 2) | 0.1% | insufficient data (n=79) | — | — | 85,689 | 100.0% | not enough data | |
| Tier 3 / 7 alternatives (group 3) | 1.6% | 53.7% ± 2.5 (n=1,536) | — | — | 81,976 | 100.0% | not enough data | |
| Tier 3 / 7 alternatives (group 3) | 0.6% | 55.2% ± 4.0 (n=591) | — | — | 81,976 | 100.0% | not enough data | |
| Tier 3 / 7 alternatives (group 3) | 1.0% | 56.7% ± 3.2 (n=912) | — | — | 81,976 | 100.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=2) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.1% | 52.7% ± 8.5 (n=129) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=22) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=2) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=22) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=1) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 4.9% | 59.4% ± 1.4 (n=4,702) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=16) | — | — | 0 | 0.0% | not enough data | |
| Tier 4 / 0 alternatives (group 4) | 0.0% | insufficient data (n=8) | — | — | 0 | 0.0% | not enough data | |
| Transcendent Cooldown | Tier 4 / 0 alternatives (group 4) | 1.1% | 58.7% ± 3.0 (n=1,024) | — | — | 0 | 0.0% | not enough data |
20 min or later
| Item | Comparison tier | Bought in | Win rate when bought | Win rate impact | Likely range | Distinct matches | Data covered | Evidence |
|---|---|---|---|---|---|---|---|---|
| Tier 2 / 3 alternatives (group 1) | 22.6% | 53.4% ± 0.7 (n=21,647) | +0.3 pp | -0.1 to +0.8 pp | 45,357 | 99.6% | unclear | |
| Tier 2 / 3 alternatives (group 1) | 22.1% | 52.7% ± 0.7 (n=21,191) | -0.2 pp | -0.6 to +0.2 pp | 45,357 | 99.6% | unclear | |
| Tier 2 / 3 alternatives (group 1) | 18.7% | 52.9% ± 0.7 (n=17,908) | -0.1 pp | -0.6 to +0.4 pp | 45,357 | 99.6% | unclear | |
| Tier 3 / 7 alternatives (group 2) | 40.4% | 54.7% ± 0.5 (n=38,812) | +0.6 pp | +0.3 to +0.9 pp | 84,367 | 99.3% | likely helps | |
| Tier 3 / 7 alternatives (group 2) | 54.1% | 53.1% ± 0.4 (n=51,868) | +0.4 pp | +0.2 to +0.6 pp | 84,367 | 99.3% | likely helps | |
| Tier 3 / 7 alternatives (group 2) | 17.5% | 51.3% ± 0.8 (n=16,780) | +0.5 pp | -0.1 to +1.1 pp | 84,367 | 99.3% | unclear | |
| Tier 3 / 7 alternatives (group 2) | 48.7% | 53.0% ± 0.5 (n=46,683) | +0.1 pp | -0.1 to +0.4 pp | 84,367 | 99.3% | unclear | |
| Tier 3 / 7 alternatives (group 2) | 18.9% | 50.5% ± 0.7 (n=18,128) | -0.7 pp | -1.3 to -0.1 pp | 84,367 | 99.3% | likely hurts | |
| Tier 3 / 7 alternatives (group 2) | 15.9% | 50.8% ± 0.8 (n=15,266) | -0.9 pp | -1.6 to -0.3 pp | 84,367 | 99.3% | likely hurts | |
| Tier 3 / 7 alternatives (group 2) | 19.8% | 49.3% ± 0.7 (n=19,031) | -1.6 pp | -2.2 to -1.0 pp | 84,367 | 99.3% | likely hurts | |
| Tier 4 / 8 alternatives (group 3) | 10.3% | 57.8% ± 1.0 (n=9,870) | +2.0 pp | +0.9 to +3.0 pp | 80,619 | 96.7% | likely helps | |
| Tier 4 / 8 alternatives (group 3) | 12.0% | 57.0% ± 0.9 (n=11,499) | +1.2 pp | +0.4 to +1.9 pp | 80,619 | 96.7% | likely helps | |
| Tier 4 / 8 alternatives (group 3) | 15.7% | 56.5% ± 0.8 (n=15,104) | +1.0 pp | +0.2 to +1.8 pp | 80,619 | 96.7% | likely helps | |
| Tier 4 / 8 alternatives (group 3) | 13.7% | 59.4% ± 0.8 (n=13,108) | +0.7 pp | -0.1 to +1.5 pp | 80,619 | 96.7% | unclear | |
| Tier 4 / 8 alternatives (group 3) | 51.6% | 55.5% ± 0.4 (n=49,468) | +0.0 pp | -0.3 to +0.3 pp | 80,619 | 96.7% | unclear | |
| Tier 4 / 8 alternatives (group 3) | 33.6% | 54.8% ± 0.5 (n=32,248) | -0.1 pp | -0.5 to +0.3 pp | 80,619 | 96.7% | unclear | |
| Transcendent Cooldown | Tier 4 / 8 alternatives (group 3) | 38.9% | 56.4% ± 0.5 (n=37,348) | -1.7 pp | -2.1 to -1.4 pp | 80,619 | 96.7% | likely hurts |
| Tier 4 / 8 alternatives (group 3) | 12.4% | 55.6% ± 0.9 (n=11,938) | -2.5 pp | -3.3 to -1.6 pp | 80,619 | 96.7% | likely hurts | |
| Tier 1 / 1 alternatives (group 4) | 13.0% | 51.4% ± 0.9 (n=12,462) | — | — | 12,427 | 99.7% | not enough data | |
| Tier 1 / 1 alternatives (group 4) | 0.0% | insufficient data (n=14) | — | — | 12,427 | 99.7% | not enough data | |
| Tier 1 / 1 alternatives (group 4) | 0.1% | 60.0% ± 9.7 (n=95) | — | — | 12,427 | 99.7% | not enough data | |
| Tier 1 / 1 alternatives (group 4) | 2.7% | 50.9% ± 1.9 (n=2,633) | — | — | 12,427 | 99.7% | not enough data | |
| Tier 1 / 1 alternatives (group 4) | 0.1% | insufficient data (n=57) | — | — | 12,427 | 99.7% | not enough data | |
| Tier 1 / 1 alternatives (group 4) | 0.1% | insufficient data (n=48) | — | — | 12,427 | 99.7% | not enough data | |
| Tier 1 / 1 alternatives (group 4) | 0.0% | insufficient data (n=12) | — | — | 12,427 | 99.7% | not enough data | |
| Tier 1 / 1 alternatives (group 4) | 0.2% | 48.1% ± 6.6 (n=216) | — | — | 12,427 | 99.7% | not enough data | |
| Tier 1 / 1 alternatives (group 4) | 0.1% | insufficient data (n=66) | — | — | 12,427 | 99.7% | not enough data | |
| Tier 1 / 1 alternatives (group 4) | 4.3% | 58.0% ± 1.5 (n=4,093) | — | — | 12,427 | 99.7% | not enough data | |
| Tier 2 / 3 alternatives (group 1) | 6.8% | 51.0% ± 1.2 (n=6,560) | — | — | 45,357 | 99.6% | not enough data | |
| Tier 2 / 3 alternatives (group 1) | 0.0% | insufficient data (n=34) | — | — | 45,357 | 99.6% | not enough data | |
| Tier 2 / 3 alternatives (group 1) | 1.1% | 52.4% ± 3.0 (n=1,085) | — | — | 45,357 | 99.6% | not enough data | |
| Stalker | Tier 2 / 3 alternatives (group 1) | 0.0% | insufficient data (n=6) | — | — | 45,357 | 99.6% | not enough data |
| Tier 2 / 3 alternatives (group 1) | 0.7% | 42.6% ± 3.6 (n=706) | — | — | 45,357 | 99.6% | not enough data | |
| Tier 2 / 3 alternatives (group 1) | 0.0% | insufficient data (n=5) | — | — | 45,357 | 99.6% | not enough data | |
| Tier 2 / 3 alternatives (group 1) | 0.1% | insufficient data (n=72) | — | — | 45,357 | 99.6% | not enough data | |
| Tier 3 / 7 alternatives (group 2) | 3.1% | 47.7% ± 1.8 (n=2,987) | — | — | 84,367 | 99.3% | not enough data | |
| Tier 3 / 7 alternatives (group 2) | 0.9% | 53.7% ± 3.3 (n=851) | — | — | 84,367 | 99.3% | not enough data | |
| Tier 3 / 7 alternatives (group 2) | 0.5% | 54.8% ± 4.3 (n=522) | — | — | 84,367 | 99.3% | not enough data | |
| Tier 4 / 8 alternatives (group 3) | 0.1% | 62.8% ± 8.8 (n=113) | — | — | 80,619 | 96.7% | not enough data | |
| Tier 4 / 8 alternatives (group 3) | 0.1% | 51.3% ± 9.0 (n=115) | — | — | 80,619 | 96.7% | not enough data |
Observed builds
View Most popular / Highest win rate builds for these patch, rank, scope and purchase-view settings.
Item effects
Show the item effect tables
Computed 2026-10-23 00:36 UTC from 387,129 clean matches across all ranks. Expected win chance at purchase, Win rate vs expected and Edge over same-tier items come from a model of the game before each purchase; they are separate from the win rate impact comparison.
Bought before 10 min
0 items below the selected purchase-share filter. Purchase shares use all hero games, including for phase purchases.
| Item | Tier | Bought in | Win rate when bought | Expected win chance at purchase | Win rate vs expected | vs hero | Edge over same-tier items |
|---|---|---|---|---|---|---|---|
| 2 | 0.1% | 63.4% ± 9.6 (n=93) | 50.1% | +13.3 pp | +11.4 pp | +8.5 pp | |
| 3 | 0.4% | 62.5% ± 5.1 (n=341) | 49.8% | +12.6 pp | +10.4 pp | +6.1 pp | |
| 3 | 0.8% | 60.5% ± 3.4 (n=770) | 48.5% | +12.1 pp | +8.5 pp | +5.5 pp | |
| 2 | 1.2% | 60.3% ± 2.9 (n=1,104) | 50.9% | +9.5 pp | +8.3 pp | +4.7 pp | |
| 3 | 0.5% | 56.8% ± 4.6 (n=442) | 46.3% | +10.5 pp | +4.8 pp | +3.9 pp | |
| 3 | 0.1% | 58.2% ± 9.6 (n=98) | 48.0% | +10.2 pp | +6.1 pp | +3.7 pp | |
| 2 | 0.6% | 56.3% ± 4.0 (n=599) | 48.2% | +8.1 pp | +4.2 pp | +3.3 pp | |
| 2 | 0.1% | 57.7% ± 9.6 (n=97) | 50.0% | +7.7 pp | +5.7 pp | +2.9 pp | |
| 2 | 7.0% | 56.3% ± 1.2 (n=6,677) | 48.8% | +7.5 pp | +4.3 pp | +2.7 pp | |
| 1 | 9.0% | 54.3% ± 1.1 (n=8,599) | 49.4% | +4.9 pp | +2.3 pp | +2.2 pp |
10–20 min
0 items below the selected purchase-share filter. Purchase shares use all hero games, including for phase purchases.
| Item | Tier | Bought in | Win rate when bought | Expected win chance at purchase | Win rate vs expected | vs hero | Edge over same-tier items |
|---|---|---|---|---|---|---|---|
| 4 | 0.3% | 73.6% ± 5.5 (n=242) | 54.6% | +18.9 pp | +21.5 pp | +8.1 pp | |
| 4 | 0.1% | 68.4% ± 9.1 (n=98) | 49.6% | +18.8 pp | +16.3 pp | +7.9 pp | |
| 4 | 0.1% | 67.6% ± 8.8 (n=105) | 49.5% | +18.2 pp | +15.6 pp | +7.3 pp | |
| 1 | 0.5% | 58.4% ± 4.4 (n=488) | 50.5% | +7.9 pp | +6.4 pp | +6.3 pp | |
| 2 | 0.3% | 58.4% ± 5.9 (n=269) | 49.5% | +8.9 pp | +6.3 pp | +5.7 pp | |
| 3 | 0.5% | 57.6% ± 4.3 (n=493) | 47.2% | +10.4 pp | +5.6 pp | +5.3 pp | |
| 3 | 0.9% | 56.4% ± 3.4 (n=826) | 46.1% | +10.3 pp | +4.4 pp | +5.2 pp | |
| 3 | 1.0% | 56.7% ± 3.2 (n=912) | 46.9% | +9.8 pp | +4.7 pp | +4.7 pp | |
| 3 | 4.4% | 55.8% ± 1.5 (n=4,198) | 46.1% | +9.7 pp | +3.8 pp | +4.6 pp | |
| 3 | 1.4% | 59.0% ± 2.6 (n=1,341) | 50.1% | +8.8 pp | +7.0 pp | +3.7 pp |
20 min or later
0 items below the selected purchase-share filter. Purchase shares use all hero games, including for phase purchases.
| Item | Tier | Bought in | Win rate when bought | Expected win chance at purchase | Win rate vs expected | vs hero | Edge over same-tier items |
|---|---|---|---|---|---|---|---|
| 1 | 4.3% | 58.0% ± 1.5 (n=4,093) | 53.4% | +4.6 pp | +6.0 pp | +4.4 pp | |
| 4 | 1.1% | 64.7% ± 2.9 (n=1,075) | 55.1% | +9.7 pp | +12.7 pp | +3.7 pp | |
| 1 | 1.4% | 57.6% ± 2.6 (n=1,353) | 53.8% | +3.8 pp | +5.5 pp | +3.6 pp | |
| 4 | 0.1% | 61.9% ± 8.6 (n=118) | 52.5% | +9.4 pp | +9.8 pp | +3.4 pp | |
| 4 | 1.1% | 59.8% ± 3.0 (n=1,026) | 50.5% | +9.4 pp | +7.8 pp | +3.4 pp | |
| 4 | 5.8% | 62.6% ± 1.3 (n=5,585) | 53.4% | +9.2 pp | +10.6 pp | +3.3 pp | |
| 2 | 0.2% | 58.9% ± 7.6 (n=158) | 54.0% | +4.9 pp | +6.8 pp | +3.3 pp | |
| 3 | 1.5% | 56.0% ± 2.6 (n=1,438) | 50.4% | +5.5 pp | +3.9 pp | +3.0 pp | |
| 1 | 0.1% | 60.0% ± 9.7 (n=95) | 57.2% | +2.8 pp | +8.0 pp | +2.6 pp | |
| 4 | 0.1% | 62.8% ± 8.8 (n=113) | 54.6% | +8.2 pp | +10.8 pp | +2.3 pp |
How we calculate this
In observed win rates, ± shows half the width of the likely range; n is the number of games or appearances counted. Percentage-point differences are labeled pp.
Grades use win rates adjusted toward the overall average to reduce small-sample swings. Difference from the corresponding population average, in percentage points: S at or above +3; A at or above +1 and < +3; B > -1 and < +1; C > -3 and at or below -1; D at or below -3. A dash means not enough data. The displayed win rate is the observed rate; grades use the adjusted rate. Hero-summary grades use all ranks, clean matches for this patch.
Win rate when bought is the observed match win rate among buyers. Win rate impact compares eligible same-tier alternatives in the same purchase phase after giving them a common mix of purchase times, team wealth leads and ranks. Compare only rows with the same alternatives and mix; numbered groups distinguish different comparisons when a table contains more than one. The reference includes the item itself; zero is the reference average. Data covered is the share of the intended comparison mix supported by the data, counted in groups of purchase time, team wealth lead and rank.
The likely range is a 95% interval accounting for purchases from the same match, conditional on the chosen alternatives and mix. Likely helps means the entire range is above zero; likely hurts means below zero; unclear includes zero. Not enough data means a comparison failed its sample, support or display requirements. These associations do not establish cause, account for unmeasured differences or repeated players across matches, predict future patches, or add up to a build win rate. Filtering items does not change the comparison groups, weights or estimates.
Expected win chance at purchase is the average win chance a separate model of the game gave the buyers just before they bought. Win rate vs expected is the buyers' actual win rate minus that expected chance, measured on the same data used to fit the model. Edge over same-tier items is that difference minus the average difference for same-tier items on this hero in the same phase; it is observational, not the win rate impact comparison. Purchase shares use all hero appearances. Rows are limited to 10 per comparison tier.
Win chance effect comes from a statistical model over clean matches of this patch and match tier. It is shown in percentage points above a 50% baseline from this hero's side: positive means this hero's side wins more often. Tables are sorted by the underlying model coefficient.