Colossus
Patch 2026-09-29.
Win rate by purchase phase
| Phase | Win rate when bought | Edge over same-tier items |
|---|---|---|
| Bought before 10 min | insufficient data (n=3) | — |
| 10–20 min | 63.5% ± 1.9 (n=2,573) | +2.4 pp |
| 20 min or later | 60.0% ± 0.3 (n=128,609) | +2.3 pp |
Edge over same-tier items, by hero
| Hero | Win rate when bought | Edge over same-tier items |
|---|---|---|
| 60.5% ± 2.5 (n=1,491) | +4.0 pp | |
| 61.2% ± 1.0 (n=8,615) | +3.0 pp | |
| 60.1% ± 0.7 (n=16,521) | +2.3 pp | |
| 62.1% ± 0.5 (n=38,804) | +1.8 pp | |
| 59.7% ± 7.8 (n=149) | +1.7 pp | |
| 57.6% ± 0.6 (n=27,577) | +1.2 pp | |
| 61.0% ± 2.5 (n=1,454) | +1.1 pp | |
| 61.4% ± 0.7 (n=19,221) | +1.1 pp | |
| 56.1% ± 2.8 (n=1,234) | +0.6 pp | |
| 53.2% ± 3.0 (n=1,037) | +0.2 pp |
By rank tier
| Tier | Games | Win rate when bought | Purchase rate |
|---|---|---|---|
| All tiers | 131,187 | 60.0% ± 0.3 (n=131,187) | 2.8% (n=4,643,618) |
| 1 Initiate | 8,220 | 58.1% ± 1.1 (n=8,220) | 2.9% (n=286,633) |
| 2 Seeker | 16,905 | 59.2% ± 0.7 (n=16,905) | 3.0% (n=567,145) |
| 3 Acolyte | 15,770 | 59.3% ± 0.8 (n=15,770) | 2.9% (n=538,601) |
| 4 Sentinel | 13,174 | 60.1% ± 0.8 (n=13,174) | 2.9% (n=454,663) |
| 5 Mystic | 11,205 | 60.1% ± 0.9 (n=11,205) | 2.7% (n=412,948) |
| 6 Ritualist | 11,754 | 60.7% ± 0.9 (n=11,754) | 2.8% (n=417,480) |
| 7 Emissary | 11,618 | 60.5% ± 0.9 (n=11,618) | 2.9% (n=403,465) |
| 8 Oracle | 14,465 | 60.7% ± 0.8 (n=14,465) | 2.6% (n=546,368) |
| 9 Phantom | 11,817 | 61.7% ± 0.9 (n=11,817) | 2.7% (n=432,077) |
| 10 Ascendant | 5,700 | 62.5% ± 1.3 (n=5,700) | 2.7% (n=213,670) |
| 11 Eternus | 1,938 | 61.5% ± 2.2 (n=1,938) | 2.5% (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.