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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
Chrome,. Bolt	312	1.1× avg	1000m 24 gate madness top 3 40% (avg 13%) · 10 1400m 16 gate WTA wins 21% (avg 6.3%) · 14 1000m 16 gate WTA wins 29% (avg 6.3%) · 7	1400m 1v1 wins 25% (avg 50%) · 16 1400m 4 gate WTA wins 9.1% (avg 25%) · 11 1000m 12 gate madness top 3 0.0% (avg 25%) · 4
Shadow,.Banner	268	1.1× avg	1200m 12 gate WTA wins 67% (avg 8.3%) · 3 1600m 22 gate WTA wins 25% (avg 4.5%) · 8 1400m 24 gate madness top 3 38% (avg 13%) · 8	2200m 24 gate madness top 3 0.0% (avg 13%) · 11 1600m 4 gate WTA wins 0.0% (avg 25%) · 5 1800m 24 gate madness top 3 0.0% (avg 13%) · 10
Space Melody	239	1.6× avg	1800m 24 gate madness top 3 42% (avg 13%) · 19 2200m 24 gate madness top 3 33% (avg 13%) · 30 1800m 24 gate WTA wins 40% (avg 4.2%) · 5	1600m 6 gate madness top 3 25% (avg 50%) · 4 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 8 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 4
Space Heater	219	1.2× avg	2200m 24 gate madness top 3 40% (avg 13%) · 30 1600m 24 gate WTA wins 14% (avg 4.2%) · 22 2200m 16 gate WTA wins 14% (avg 6.3%) · 14	2000m 6 gate WTA wins 0.0% (avg 17%) · 17 1400m 24 gate madness top 3 0.0% (avg 13%) · 8 1800m 6 gate WTA wins 0.0% (avg 17%) · 5
Rusty Behemoth	206	1.4× avg	1800m 24 gate madness top 3 37% (avg 13%) · 19 2000m 22 gate WTA wins 23% (avg 4.5%) · 13 2200m 22 gate WTA wins 50% (avg 4.5%) · 4	1800m 1v1 wins 0.0% (avg 50%) · 3 1800m 4 gate WTA wins 11% (avg 25%) · 19 2000m 6 gate WTA wins 0.0% (avg 17%) · 6
IDDQD	197	1.3× avg	2200m 24 gate madness top 3 33% (avg 13%) · 30 2200m 22 gate WTA wins 25% (avg 4.5%) · 4 1800m 16 gate WTA wins 33% (avg 6.3%) · 3	2200m 6 gate WTA wins 0.0% (avg 17%) · 6 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 5
Lambo, Bike	177	0.8× avg	1200m 6 gate madness top 3 60% (avg 50%) · 10 1000m 1v1 wins 59% (avg 50%) · 17 1000m 6 gate madness top 3 57% (avg 50%) · 14	1400m 12 gate madness top 3 0.0% (avg 25%) · 6 1000m 24 gate madness top 3 0.0% (avg 13%) · 10 1400m 24 gate madness top 3 0.0% (avg 13%) · 8
Xeric Bullet	166	0.9× avg	2200m 16 gate WTA wins 17% (avg 6.3%) · 6 2200m 1v1 wins 69% (avg 50%) · 16 2200m 6 gate madness top 3 60% (avg 50%) · 15	1800m 24 gate madness top 3 0.0% (avg 13%) · 19 1000m 24 gate madness top 3 0.0% (avg 13%) · 10 1400m 24 gate madness top 3 0.0% (avg 13%) · 8
Static Behemoth	156	0.4× avg	1400m 24 gate madness top 3 13% (avg 13%) · 8	1000m 24 gate madness top 3 0.0% (avg 13%) · 10 1000m 12 gate madness top 3 0.0% (avg 25%) · 4 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 22
Brazen, Berserker	150	1.2× avg	1400m 16 gate WTA wins 21% (avg 6.3%) · 14 1600m 22 gate WTA wins 25% (avg 4.5%) · 8 1200m 24 gate madness top 3 40% (avg 13%) · 5	1000m 4 gate WTA wins 7.1% (avg 25%) · 14 1200m 6 gate WTA wins 0.0% (avg 17%) · 5 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 12
Utopia Nova	148	1.1× avg	1800m 12 gate WTA wins 40% (avg 8.3%) · 5 2200m 16 gate WTA wins 14% (avg 6.3%) · 14 2200m 6 gate madness top 3 73% (avg 50%) · 15	2000m 4 gate WTA wins 0.0% (avg 25%) · 5 1800m 6 gate madness top 3 25% (avg 50%) · 8 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 13
The Prestige	143	1.3× avg	1400m 12 gate madness top 3 83% (avg 25%) · 6 1200m 22 gate WTA wins 25% (avg 4.5%) · 8 1600m 16 gate WTA wins 17% (avg 6.3%) · 6	1400m 24 gate madness top 3 0.0% (avg 13%) · 8 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 22 1400m 6 gate WTA wins 9.1% (avg 17%) · 11
Juggler	143	0.3× avg	1400m 22 gate WTA wins 17% (avg 4.5%) · 6 1000m 22 gate WTA wins 8.3% (avg 4.5%) · 12 1600m 24 gate WTA wins 4.5% (avg 4.2%) · 22	1400m 12 gate madness top 3 0.0% (avg 25%) · 6 1000m 24 gate madness top 3 0.0% (avg 13%) · 10 1400m 24 gate madness top 3 0.0% (avg 13%) · 8
Vespa	141	0.7× avg	1000m 12 gate madness top 3 50% (avg 25%) · 4 1200m 24 gate WTA wins 14% (avg 4.2%) · 7 1200m 12 gate WTA wins 20% (avg 8.3%) · 5	1000m 24 gate madness top 3 0.0% (avg 13%) · 10 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 22 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 14
Faint Shadow	123	1.6× avg	2200m 24 gate madness top 3 23% (avg 13%) · 30 2200m 16 gate WTA wins 14% (avg 6.3%) · 14 1800m 24 gate madness top 3 21% (avg 13%) · 19	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 5 1200m 24 gate WTA wins 0.0% (avg 4.2%) · 7
Terra,. Cyclone	107	1.2× avg	1400m 24 gate madness top 3 50% (avg 13%) · 8 1600m 24 gate WTA wins 9.1% (avg 4.2%) · 22 1200m 24 gate WTA wins 14% (avg 4.2%) · 7	1600m 6 gate madness top 3 25% (avg 50%) · 4 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 5 1800m 24 gate madness top 3 0.0% (avg 13%) · 3
Brutal Beast	93	0.7× avg	2200m 24 gate madness top 3 13% (avg 13%) · 30 1800m 1v1 wins 50% (avg 50%) · 10	1800m 24 gate madness top 3 0.0% (avg 13%) · 19 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 13 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 6
Unlikely Repeat	68	0.9× avg	1800m 24 gate madness top 3 21% (avg 13%) · 19	2200m 24 gate madness top 3 6.7% (avg 13%) · 30 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 13 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 4
Vapor,,. Bruiser	52	1.0× avg	1800m 24 gate WTA wins 25% (avg 4.2%) · 4 2000m 22 gate WTA wins 11% (avg 4.5%) · 9 1800m 24 gate madness top 3 17% (avg 13%) · 12	2200m 24 gate madness top 3 5.3% (avg 13%) · 19 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 8
Jaded,,. Berserker	52	1.0× avg	2000m 22 gate WTA wins 11% (avg 4.5%) · 9 2200m 24 gate madness top 3 16% (avg 13%) · 19	2200m 16 gate WTA wins 0.0% (avg 6.3%) · 8 1800m 24 gate madness top 3 8.3% (avg 13%) · 12 1800m 24 gate WTA wins 0.0% (avg 4.2%) · 4
Ancient Baron	37	0.0× avg	—	2200m 24 gate madness top 3 0.0% (avg 13%) · 11 1800m 24 gate madness top 3 0.0% (avg 13%) · 7 1800m 24 gate WTA wins 0.0% (avg 4.2%) · 5
Cursed Boost	11	0.5× avg	—	1000m 6 gate madness top 3 20% (avg 50%) · 5 1200m 6 gate madness top 3 33% (avg 50%) · 6
Ionic,, Bolt	9	1.6× avg	1600m 6 gate madness top 3 78% (avg 50%) · 9	—

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.

GTA: Power 39.8, #30. 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 00, with each round weighted by how often maps reach it (most maps end by round 27–30).