Compress Cooldown
Patch 2026-09-29.
Win rate by purchase phase
| Phase | Win rate when bought | Edge over same-tier items |
|---|---|---|
| Bought before 10 min | 50.8% ± 0.3 (n=114,480) | -1.1 pp |
| 10–20 min | 51.2% ± 0.1 (n=690,657) | -0.5 pp |
| 20 min or later | 51.9% ± 0.1 (n=702,033) | +0.5 pp |
Edge over same-tier items, by hero
| Hero | Win rate when bought | Edge over same-tier items |
|---|---|---|
 Baba | 57.3% ± 0.4 (n=50,884) | +2.6 pp |
 McGinnis | 49.6% ± 0.6 (n=25,392) | +1.5 pp |
 Infernus | 52.1% ± 1.8 (n=3,072) | +1.4 pp |
 Lady Geist | 50.7% ± 0.5 (n=46,915) | +1.2 pp |
 Violet | 52.1% ± 0.6 (n=31,141) | +1.2 pp |
 Nurse Harrow | 51.0% ± 0.9 (n=12,725) | +0.7 pp |
 Ivy | 56.7% ± 0.6 (n=26,815) | +0.7 pp |
 Paige | 57.1% ± 0.3 (n=88,249) | +0.6 pp |
 Rat King | 59.2% ± 0.3 (n=100,388) | +0.5 pp |
 Shiv | 46.9% ± 0.5 (n=45,904) | +0.4 pp |
By rank tier
| Tier | Games | Win rate when bought | Purchase rate |
|---|---|---|---|
| All tiers | 1,507,173 | 51.5% ± 0.1 (n=1,507,173) | 32.5% (n=4,643,618) |
| 1 Initiate | 97,358 | 51.4% ± 0.3 (n=97,358) | 34.0% (n=286,633) |
| 2 Seeker | 192,619 | 51.6% ± 0.2 (n=192,619) | 34.0% (n=567,145) |
| 3 Acolyte | 179,158 | 51.7% ± 0.2 (n=179,158) | 33.3% (n=538,601) |
| 4 Sentinel | 151,439 | 51.7% ± 0.3 (n=151,439) | 33.3% (n=454,663) |
| 5 Mystic | 136,669 | 51.9% ± 0.3 (n=136,669) | 33.1% (n=412,948) |
| 6 Ritualist | 136,441 | 51.7% ± 0.3 (n=136,441) | 32.7% (n=417,480) |
| 7 Emissary | 130,685 | 51.7% ± 0.3 (n=130,685) | 32.4% (n=403,465) |
| 8 Oracle | 172,436 | 51.5% ± 0.2 (n=172,436) | 31.6% (n=546,368) |
| 9 Phantom | 129,936 | 51.5% ± 0.3 (n=129,936) | 30.1% (n=432,077) |
| 10 Ascendant | 61,036 | 52.0% ± 0.4 (n=61,036) | 28.6% (n=213,670) |
| 11 Eternus | 20,556 | 51.4% ± 0.7 (n=20,556) | 26.3% (n=78,077) |
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.
Win rate when bought is observed wins divided by games among buyers, with a 95% likely range. Small samples or wide ranges are withheld. Edge over same-tier items is how much better or worse the buyers did than a model of the game expected just before purchase, compared with the average for same-tier items. These cover all ranks, clean matches, and are computed daily. They are observational, do not establish cause and do not add up to a build win rate. Follow hero links for win rate impact comparisons among that hero's alternatives. Purchase rates use all player appearances in the selection.