Mystic Burst
Patch 2026-09-29.
Win rate by purchase phase
| Phase | Win rate when bought | Edge over same-tier items |
|---|---|---|
| Bought before 10 min | 48.4% ± 0.1 (n=1,244,464) | -1.7 pp |
| 10–20 min | 47.7% ± 0.2 (n=199,756) | -2.4 pp |
| 20 min or later | 48.9% ± 0.3 (n=118,594) | -1.0 pp |
Edge over same-tier items, by hero
| Hero | Win rate when bought | Edge over same-tier items |
|---|---|---|
 Nurse Harrow | 54.0% ± 7.9 (n=150) | +5.1 pp |
 Sinclair | 49.4% ± 1.0 (n=9,752) | +1.5 pp |
 Celeste | 51.5% ± 0.6 (n=26,675) | +1.3 pp |
 Rem | 47.4% ± 0.5 (n=47,132) | +1.0 pp |
 Deadman Danny | 44.3% ± 0.3 (n=87,695) | +0.9 pp |
 Solomon | 45.3% ± 0.4 (n=76,835) | +0.8 pp |
 Paige | 57.3% ± 0.6 (n=22,628) | +0.7 pp |
 Pocket | 45.5% ± 0.3 (n=79,770) | +0.4 pp |
 Kelvin | 55.5% ± 0.7 (n=20,938) | +0.4 pp |
 Mo & Krill | 49.1% ± 0.3 (n=108,373) | +0.4 pp |
By rank tier
| Tier | Games | Win rate when bought | Purchase rate |
|---|---|---|---|
| All tiers | 1,562,814 | 48.3% ± 0.1 (n=1,562,814) | 33.7% (n=4,643,618) |
| 1 Initiate | 92,881 | 48.6% ± 0.3 (n=92,881) | 32.4% (n=286,633) |
| 2 Seeker | 189,850 | 48.7% ± 0.2 (n=189,850) | 33.5% (n=567,145) |
| 3 Acolyte | 182,225 | 48.6% ± 0.2 (n=182,225) | 33.8% (n=538,601) |
| 4 Sentinel | 153,832 | 48.5% ± 0.2 (n=153,832) | 33.8% (n=454,663) |
| 5 Mystic | 141,225 | 48.4% ± 0.3 (n=141,225) | 34.2% (n=412,948) |
| 6 Ritualist | 143,296 | 48.3% ± 0.3 (n=143,296) | 34.3% (n=417,480) |
| 7 Emissary | 137,661 | 48.3% ± 0.3 (n=137,661) | 34.1% (n=403,465) |
| 8 Oracle | 185,473 | 48.1% ± 0.2 (n=185,473) | 33.9% (n=546,368) |
| 9 Phantom | 143,938 | 48.4% ± 0.3 (n=143,938) | 33.3% (n=432,077) |
| 10 Ascendant | 68,865 | 48.5% ± 0.4 (n=68,865) | 32.2% (n=213,670) |
| 11 Eternus | 24,708 | 48.9% ± 0.6 (n=24,708) | 31.6% (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.