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Season 01 (this season)Preseason 01 Preseason 00

Cores

Table Who they field Core vs core Best matchups 1v1 head-to-head

Each core's best 3 races and up to 3 where it's below average (3+ races there).

Core	Races	Earns the point	Best races	Needs work
Royal Turbine	630	1.3× avg	1000m 22 gate WTA wins 14% (avg 4.5%) · 36 1400m 6 gate WTA wins 38% (avg 17%) · 16 1600m 22 gate WTA wins 13% (avg 4.5%) · 24	2200m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1600m 24 gate madness top 3 0.0% (avg 13%) · 4 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 12
Crypt Inferno	489	1.2× avg	2200m 22 gate WTA wins 33% (avg 4.5%) · 12 1800m 12 gate WTA wins 40% (avg 8.3%) · 10 2000m 22 gate WTA wins 14% (avg 4.5%) · 37	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 38 1800m 6 gate WTA wins 0.0% (avg 17%) · 8 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 24
Maelstrom	443	1.4× avg	2000m 22 gate WTA wins 14% (avg 4.5%) · 37 1600m 24 gate WTA wins 11% (avg 4.2%) · 38 1600m 24 gate madness top 3 50% (avg 13%) · 4	2200m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1800m 24 gate WTA wins 0.0% (avg 4.2%) · 9 1600m 22 gate WTA wins 4.2% (avg 4.5%) · 24
Starstruck	435	1.0× avg	1400m 24 gate WTA wins 17% (avg 4.2%) · 12 1200m 24 gate madness top 3 27% (avg 13%) · 15 1400m 16 gate WTA wins 13% (avg 6.3%) · 24	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 10 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 18
In Due Time	435	1.0× avg	2000m 4 gate WTA wins 50% (avg 25%) · 8 2200m 16 gate WTA wins 13% (avg 6.3%) · 24 2000m 22 gate WTA wins 8.1% (avg 4.5%) · 37	2000m 6 gate WTA wins 9.8% (avg 17%) · 41 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1600m 24 gate madness top 3 0.0% (avg 13%) · 4
Isagi	407	1.0× avg	1000m 22 gate WTA wins 14% (avg 4.5%) · 36 1200m 22 gate WTA wins 13% (avg 4.5%) · 23 1400m 24 gate WTA wins 17% (avg 4.2%) · 12	1000m 24 gate madness top 3 0.0% (avg 13%) · 20 1200m 24 gate madness top 3 0.0% (avg 13%) · 15 1400m 4 gate WTA wins 13% (avg 25%) · 23
Mahlow	360	1.2× avg	1000m 4 gate WTA wins 46% (avg 25%) · 24 1000m 12 gate madness top 3 50% (avg 25%) · 8 1000m 16 gate WTA wins 17% (avg 6.3%) · 12	1200m 6 gate WTA wins 3.0% (avg 17%) · 33 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 24 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 10
Spectral Knight	359	1.1× avg	1800m 24 gate WTA wins 22% (avg 4.2%) · 9 1200m 24 gate madness top 3 27% (avg 13%) · 15 1800m 24 gate madness top 3 20% (avg 13%) · 45	1600m 22 gate WTA wins 0.0% (avg 4.5%) · 24 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 10 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 9
Veyron	330	1.7× avg	1200m 24 gate madness top 3 47% (avg 13%) · 15 1600m 24 gate WTA wins 13% (avg 4.2%) · 38 1400m 22 gate WTA wins 17% (avg 4.5%) · 18	1000m 16 gate WTA wins 0.0% (avg 6.3%) · 12 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 12 1000m 22 gate WTA wins 2.8% (avg 4.5%) · 36
Fisher Tiger	317	1.2× avg	1200m 24 gate WTA wins 33% (avg 4.2%) · 12 1000m 16 gate WTA wins 25% (avg 6.3%) · 12 1200m 12 gate WTA wins 30% (avg 8.3%) · 10	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1600m 24 gate madness top 3 0.0% (avg 13%) · 4 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 12
Half A Second	312	1.7× avg	1600m 24 gate WTA wins 11% (avg 4.2%) · 38 1800m 24 gate madness top 3 24% (avg 13%) · 45 2000m 12 gate madness top 3 44% (avg 25%) · 16	1600m 16 gate WTA wins 0.0% (avg 6.3%) · 9 1200m 24 gate WTA wins 0.0% (avg 4.2%) · 12 2200m 16 gate WTA wins 4.2% (avg 6.3%) · 24
Creative Endeavour	258	0.4× avg	1400m 22 gate WTA wins 5.6% (avg 4.5%) · 18 1400m 24 gate madness top 3 13% (avg 13%) · 24	2200m 24 gate madness top 3 1.5% (avg 13%) · 67 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 24 1800m 24 gate madness top 3 5.4% (avg 13%) · 37
Stretchy Pants	251	0.9× avg	1600m 24 gate WTA wins 7.9% (avg 4.2%) · 38 1600m 6 gate WTA wins 29% (avg 17%) · 7 1600m 16 gate WTA wins 11% (avg 6.3%) · 9	1600m 22 gate WTA wins 0.0% (avg 4.5%) · 24 1400m 6 gate WTA wins 6.3% (avg 17%) · 16 1800m 24 gate madness top 3 6.7% (avg 13%) · 45
Poison Weapon	237	0.8× avg	2000m 6 gate madness top 3 63% (avg 50%) · 24 2200m 6 gate madness top 3 61% (avg 50%) · 28	1800m 24 gate madness top 3 0.0% (avg 13%) · 45 2200m 24 gate madness top 3 1.5% (avg 13%) · 67 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 37
Milk, Again	211	1.0× avg	2000m 22 gate WTA wins 8.1% (avg 4.5%) · 37 1800m 24 gate WTA wins 11% (avg 4.2%) · 9 1600m 24 gate madness top 3 25% (avg 13%) · 4	1800m 12 gate WTA wins 0.0% (avg 8.3%) · 10 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 12 2200m 24 gate madness top 3 10% (avg 13%) · 67
Jasplew	209	1.0× avg	2200m 16 gate WTA wins 8.3% (avg 6.3%) · 24 2200m 6 gate madness top 3 57% (avg 50%) · 28 2000m 12 gate madness top 3 25% (avg 25%) · 16	2200m 6 gate WTA wins 0.0% (avg 17%) · 8 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 12 2000m 22 gate WTA wins 2.7% (avg 4.5%) · 37
Sausage Boat	209	1.2× avg	1000m 24 gate madness top 3 40% (avg 13%) · 20 1200m 22 gate WTA wins 13% (avg 4.5%) · 23 1200m 24 gate WTA wins 8.3% (avg 4.2%) · 12	1800m 24 gate madness top 3 2.7% (avg 13%) · 37 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 36 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 18
Venator	185	1.6× avg	2200m 16 gate WTA wins 17% (avg 6.3%) · 24 1800m 24 gate madness top 3 38% (avg 13%) · 8 2200m 24 gate madness top 3 24% (avg 13%) · 67	2000m 6 gate WTA wins 13% (avg 17%) · 8 2200m 6 gate WTA wins 13% (avg 17%) · 8 1800m 16 gate WTA wins 0.0% (avg 6.3%) · 3
Hachi	180	0.8× avg	1000m 22 gate WTA wins 17% (avg 4.5%) · 36 1000m 16 gate WTA wins 8.3% (avg 6.3%) · 12	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1000m 24 gate madness top 3 5.0% (avg 13%) · 20 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 18
The Prius	149	1.8× avg	2200m 24 gate madness top 3 27% (avg 13%) · 67 2200m 22 gate WTA wins 8.3% (avg 4.5%) · 12 2200m 16 gate WTA wins 8.3% (avg 6.3%) · 24	2000m 22 gate WTA wins 2.7% (avg 4.5%) · 37 1800m 24 gate WTA wins 0.0% (avg 4.2%) · 9
Water 7	148	0.9× avg	1000m 16 gate WTA wins 17% (avg 6.3%) · 12 1200m 24 gate WTA wins 8.3% (avg 4.2%) · 12 1000m 24 gate madness top 3 15% (avg 13%) · 20	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 36 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 12
Jinbei	140	0.7× avg	1200m 24 gate madness top 3 20% (avg 13%) · 15 1400m 24 gate WTA wins 8.3% (avg 4.2%) · 12 1000m 16 gate WTA wins 8.3% (avg 6.3%) · 12	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1000m 24 gate madness top 3 5.0% (avg 13%) · 20 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 10

Earns the point: how often a core does what wins its team the round — wins the race (1v1, WTA) or finishes top 3 (madness) — against an average entrant (1 in 2 for a 1v1, 1 in 22 for a 22-gate WTA). In big fields only an outright fast time wins, so steady cores that “beat most of the field” can still rarely score there. Best / needs-work segments need 3+ races.

🐑BLACK SHEEP🐑: Power 58.9, #3. A round is one race of a map; whoever wins it gets the point. Win % here is the share of rounds won in each segment this Preseason 01, with each round weighted by how often maps reach it (most maps end by round 27–30).