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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
Impressive Owl	679	1.2× avg	2200m 24 gate madness top 3 30% (avg 13%) · 77 2200m 4 gate WTA wins 57% (avg 25%) · 14 2200m 16 gate WTA wins 21% (avg 6.3%) · 14	2000m 4 gate WTA wins 0.0% (avg 25%) · 12 1000m 24 gate madness top 3 0.0% (avg 13%) · 24 1800m 6 gate WTA wins 0.0% (avg 17%) · 12
Ptolemy's Table	462	1.2× avg	1800m 24 gate WTA wins 29% (avg 4.2%) · 7 2000m 4 gate WTA wins 58% (avg 25%) · 12 1800m 24 gate madness top 3 21% (avg 13%) · 48	1000m 24 gate madness top 3 0.0% (avg 13%) · 24 2200m 4 gate WTA wins 7.1% (avg 25%) · 14 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 24
First Strike	452	1.3× avg	1600m 22 gate WTA wins 13% (avg 4.5%) · 24 2000m 22 gate WTA wins 11% (avg 4.5%) · 38 2000m 12 gate madness top 3 46% (avg 25%) · 24	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 24 1800m 4 gate WTA wins 15% (avg 25%) · 26 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 12
ChatGPT	415	1.1× avg	1200m 24 gate madness top 3 25% (avg 13%) · 16 1000m 22 gate WTA wins 8.6% (avg 4.5%) · 35 1400m 24 gate madness top 3 21% (avg 13%) · 24	2200m 24 gate madness top 3 0.0% (avg 13%) · 16 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 15 1400m 6 gate WTA wins 7.7% (avg 17%) · 13
Gold Theft Victory	381	1.5× avg	1600m 22 gate WTA wins 25% (avg 4.5%) · 24 2200m 24 gate madness top 3 28% (avg 13%) · 61 1000m 24 gate madness top 3 27% (avg 13%) · 26	2000m 22 gate WTA wins 2.6% (avg 4.5%) · 38 2000m 6 gate madness top 3 33% (avg 50%) · 6 1200m 24 gate WTA wins 0.0% (avg 4.2%) · 8
Inquisitive Taco	357	0.7× avg	1200m 24 gate madness top 3 33% (avg 13%) · 15 1000m 12 gate madness top 3 45% (avg 25%) · 11 1400m 24 gate WTA wins 13% (avg 4.2%) · 8	2200m 24 gate madness top 3 0.0% (avg 13%) · 63 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 38 2000m 6 gate madness top 3 17% (avg 50%) · 6
Grand Boogie	337	1.0× avg	2200m 22 gate WTA wins 17% (avg 4.5%) · 12 1800m 24 gate madness top 3 18% (avg 13%) · 50 1600m 24 gate madness top 3 25% (avg 13%) · 4	2200m 6 gate WTA wins 0.0% (avg 17%) · 12 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 15 2200m 24 gate madness top 3 7.8% (avg 13%) · 77
Stuck Pig	333	1.3× avg	1200m 22 gate WTA wins 17% (avg 4.5%) · 23 1000m 22 gate WTA wins 14% (avg 4.5%) · 35 1000m 24 gate madness top 3 31% (avg 13%) · 26	1000m 4 gate WTA wins 14% (avg 25%) · 14 1200m 24 gate madness top 3 6.7% (avg 13%) · 15 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 7
Metallic Bergkamp	324	0.8× avg	1200m 24 gate madness top 3 27% (avg 13%) · 15 1400m 22 gate WTA wins 11% (avg 4.5%) · 18 1200m 24 gate WTA wins 13% (avg 4.2%) · 8	1400m 24 gate madness top 3 4.2% (avg 13%) · 24 1000m 1v1 wins 32% (avg 50%) · 59 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 8
Glorious Snowflake	319	1.2× avg	2200m 24 gate madness top 3 29% (avg 13%) · 79 2200m 16 gate WTA wins 19% (avg 6.3%) · 16 2200m 22 gate WTA wins 17% (avg 4.5%) · 12	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 38 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 24 1600m 24 gate madness top 3 0.0% (avg 13%) · 4
Lady	302	0.0× avg	—	2200m 24 gate madness top 3 0.0% (avg 13%) · 61 1400m 12 gate madness top 3 0.0% (avg 25%) · 14 1400m 24 gate madness top 3 0.0% (avg 13%) · 24
Lewis Skelly	285	0.9× avg	1000m 22 gate WTA wins 8.6% (avg 4.5%) · 35 1000m 16 gate WTA wins 13% (avg 6.3%) · 8 1200m 4 gate WTA wins 33% (avg 25%) · 12	1200m 6 gate WTA wins 3.7% (avg 17%) · 27 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 12 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 15
Do It	277	1.0× avg	1600m 16 gate WTA wins 25% (avg 6.3%) · 8 1400m 6 gate WTA wins 23% (avg 17%) · 13 1400m 12 gate madness top 3 33% (avg 25%) · 12	1800m 24 gate madness top 3 2.8% (avg 13%) · 36 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 25 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 16
Tokyo Terror	254	0.2× avg	1800m 16 gate WTA wins 20% (avg 6.3%) · 5	2200m 24 gate madness top 3 1.3% (avg 13%) · 79 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 38 1800m 24 gate madness top 3 0.0% (avg 13%) · 12
Chug-A-Lug	252	0.2× avg	2200m 22 gate WTA wins 8.3% (avg 4.5%) · 12	1800m 24 gate madness top 3 0.0% (avg 13%) · 48 2200m 24 gate madness top 3 3.8% (avg 13%) · 79 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 38
Scrolling Up	251	0.9× avg	1400m 16 gate WTA wins 13% (avg 6.3%) · 15 1800m 12 gate WTA wins 17% (avg 8.3%) · 12 1200m 24 gate WTA wins 14% (avg 4.2%) · 7	2200m 24 gate madness top 3 0.0% (avg 13%) · 18 1400m 4 gate WTA wins 0.0% (avg 25%) · 8 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 35
Crystal Thunder	237	1.1× avg	2200m 24 gate madness top 3 18% (avg 13%) · 77 1800m 12 gate WTA wins 8.3% (avg 8.3%) · 12	2200m 16 gate WTA wins 0.0% (avg 6.3%) · 14 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1600m 24 gate madness top 3 0.0% (avg 13%) · 4
Queen of the South	231	0.9× avg	1400m 24 gate madness top 3 29% (avg 13%) · 24 1400m 4 gate WTA wins 50% (avg 25%) · 8 1200m 24 gate madness top 3 13% (avg 13%) · 16	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 35 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 12
Chimichanga	223	0.7× avg	1400m 24 gate madness top 3 25% (avg 13%) · 24 1200m 24 gate madness top 3 20% (avg 13%) · 15 1000m 12 gate madness top 3 27% (avg 25%) · 11	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 35 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 15
Thunderdome	212	0.7× avg	1600m 24 gate madness top 3 25% (avg 13%) · 4 1600m 24 gate WTA wins 4.2% (avg 4.2%) · 24 1400m 24 gate madness top 3 13% (avg 13%) · 24	1600m 6 gate madness top 3 9.1% (avg 50%) · 11 1800m 24 gate madness top 3 6.3% (avg 13%) · 48 2200m 24 gate madness top 3 6.3% (avg 13%) · 16
Starting Over	178	0.2× avg	—	2200m 24 gate madness top 3 0.0% (avg 13%) · 79 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 24 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 12
The Grand Freak	142	1.1× avg	1000m 24 gate madness top 3 25% (avg 13%) · 12 1600m 24 gate madness top 3 25% (avg 13%) · 4 2200m 22 gate WTA wins 8.3% (avg 4.5%) · 12	1000m 22 gate WTA wins 2.9% (avg 4.5%) · 35 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 7 1200m 24 gate madness top 3 10% (avg 13%) · 10
Blind Frank	97	1.1× avg	1600m 24 gate WTA wins 12% (avg 4.2%) · 26 1600m 24 gate madness top 3 25% (avg 13%) · 4 1800m 24 gate madness top 3 14% (avg 13%) · 36	1600m 6 gate madness top 3 25% (avg 50%) · 4 1800m 16 gate WTA wins 0.0% (avg 6.3%) · 5
Pompeii	28	0.5× avg	—	1200m 6 gate madness top 3 29% (avg 50%) · 7
Duck Fart	19	1.3× avg	—	—

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.

⚡️High Voltage Vault⚡️: Power 56.4, #8. 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).