Dispel Magic
Patch 2026-09-29.
Win rate by purchase phase
| Phase | Win rate when bought | Edge over same-tier items |
|---|---|---|
| Bought before 10 min | 58.0% ± 1.3 (n=5,845) | +1.1 pp |
| 10–20 min | 51.3% ± 0.2 (n=382,470) | +0.3 pp |
| 20 min or later | 47.8% ± 0.2 (n=381,130) | -0.5 pp |
Edge over same-tier items, by hero
| Hero | Win rate when bought | Edge over same-tier items |
|---|---|---|
 Nurse Harrow | 50.3% ± 2.7 (n=1,296) | +2.4 pp |
 Mina | 48.5% ± 0.3 (n=104,373) | +2.2 pp |
 Mirage | 44.8% ± 0.7 (n=19,716) | +1.6 pp |
 Deadman Danny | 47.5% ± 0.6 (n=23,011) | +1.5 pp |
 Wraith | 54.3% ± 0.3 (n=86,564) | +1.3 pp |
 Infernus | 49.1% ± 0.4 (n=52,946) | +1.3 pp |
 Shiv | 45.9% ± 0.4 (n=63,341) | +1.0 pp |
 Bebop | 47.3% ± 0.8 (n=16,878) | +1.0 pp |
 Billy | 49.7% ± 0.8 (n=15,361) | +0.8 pp |
 Lash | 51.5% ± 0.6 (n=27,706) | +0.7 pp |
By rank tier
| Tier | Games | Win rate when bought | Purchase rate |
|---|---|---|---|
| All tiers | 769,446 | 49.6% ± 0.1 (n=769,446) | 16.6% (n=4,643,618) |
| 1 Initiate | 28,489 | 48.3% ± 0.6 (n=28,489) | 9.9% (n=286,633) |
| 2 Seeker | 69,508 | 49.5% ± 0.4 (n=69,508) | 12.3% (n=567,145) |
| 3 Acolyte | 77,201 | 49.8% ± 0.4 (n=77,201) | 14.3% (n=538,601) |
| 4 Sentinel | 69,133 | 49.7% ± 0.4 (n=69,133) | 15.2% (n=454,663) |
| 5 Mystic | 68,342 | 49.9% ± 0.4 (n=68,342) | 16.5% (n=412,948) |
| 6 Ritualist | 75,189 | 49.6% ± 0.4 (n=75,189) | 18.0% (n=417,480) |
| 7 Emissary | 75,579 | 50.2% ± 0.4 (n=75,579) | 18.7% (n=403,465) |
| 8 Oracle | 110,478 | 49.5% ± 0.3 (n=110,478) | 20.2% (n=546,368) |
| 9 Phantom | 91,190 | 50.0% ± 0.3 (n=91,190) | 21.1% (n=432,077) |
| 10 Ascendant | 46,713 | 49.7% ± 0.5 (n=46,713) | 21.9% (n=213,670) |
| 11 Eternus | 17,981 | 50.5% ± 0.7 (n=17,981) | 23.0% (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.