Titanic Magazine
Patch 2026-09-29.
Win rate by purchase phase
| Phase | Win rate when bought | Edge over same-tier items |
|---|---|---|
| Bought before 10 min | 52.0% ± 0.2 (n=316,899) | -0.8 pp |
| 10–20 min | 49.1% ± 0.2 (n=258,613) | -1.6 pp |
| 20 min or later | 50.1% ± 0.3 (n=123,614) | -0.6 pp |
Edge over same-tier items, by hero
| Hero | Win rate when bought | Edge over same-tier items |
|---|---|---|
 Nurse Harrow | 49.0% ± 0.6 (n=24,714) | +0.3 pp |
 Mirage | 44.7% ± 0.6 (n=23,384) | +0.3 pp |
 Vindicta | 53.6% ± 0.4 (n=65,028) | +0.1 pp |
 Ivy | 53.8% ± 0.4 (n=68,660) | +0.1 pp |
 Warden | 43.7% ± 0.6 (n=28,080) | -0.2 pp |
 Haze | 53.6% ± 0.3 (n=81,425) | -0.4 pp |
 Rat King | 56.6% ± 0.3 (n=100,692) | -0.5 pp |
 Sinclair | 48.4% ± 2.6 (n=1,417) | -0.5 pp |
 Venator | 48.0% ± 0.4 (n=63,278) | -0.8 pp |
 Yamato | 49.6% ± 8.6 (n=127) | -0.8 pp |
By rank tier
| Tier | Games | Win rate when bought | Purchase rate |
|---|---|---|---|
| All tiers | 699,126 | 50.6% ± 0.1 (n=699,126) | 15.1% (n=4,643,618) |
| 1 Initiate | 52,517 | 49.9% ± 0.4 (n=52,517) | 18.3% (n=286,633) |
| 2 Seeker | 95,159 | 50.4% ± 0.3 (n=95,159) | 16.8% (n=567,145) |
| 3 Acolyte | 85,807 | 50.8% ± 0.3 (n=85,807) | 15.9% (n=538,601) |
| 4 Sentinel | 69,849 | 51.0% ± 0.4 (n=69,849) | 15.4% (n=454,663) |
| 5 Mystic | 62,528 | 51.1% ± 0.4 (n=62,528) | 15.1% (n=412,948) |
| 6 Ritualist | 60,277 | 50.8% ± 0.4 (n=60,277) | 14.4% (n=417,480) |
| 7 Emissary | 56,989 | 50.6% ± 0.4 (n=56,989) | 14.1% (n=403,465) |
| 8 Oracle | 75,064 | 50.8% ± 0.4 (n=75,064) | 13.7% (n=546,368) |
| 9 Phantom | 57,807 | 51.0% ± 0.4 (n=57,807) | 13.4% (n=432,077) |
| 10 Ascendant | 27,654 | 51.0% ± 0.6 (n=27,654) | 12.9% (n=213,670) |
| 11 Eternus | 10,753 | 50.2% ± 0.9 (n=10,753) | 13.8% (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.