Team report · Lower league

🪃EUREKA🦘

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Season 01 (this season)Preseason 01 Preseason 00

Cores

Table Who they field Core vs coreBest matchups1v1 head-to-head

Each core's best 3 races and up to 3 where it's below average (3+ races there). Pick a team in Compare with to unlock best matchups and 1v1 head-to-heads.

Core	Races	Earns the point	Best races	Needs work
Ghost Strike	306	1.5× avg	1600m 22 gate WTA wins 23% (avg 4.5%) · 26 1000m 22 gate WTA wins 9.5% (avg 4.5%) · 42 2200m 24 gate madness top 3 19% (avg 13%) · 64	1400m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1600m 24 gate madness top 3 0.0% (avg 13%) · 8 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 8
Parinirvana	264	1.0× avg	1600m 24 gate madness top 3 38% (avg 13%) · 8 1200m 22 gate WTA wins 13% (avg 4.5%) · 8 1200m 24 gate madness top 3 18% (avg 13%) · 11	1400m 22 gate WTA wins 0.0% (avg 4.5%) · 23 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13 1000m 24 gate madness top 3 0.0% (avg 13%) · 4
Hammered Beast	264	1.1× avg	1000m 24 gate madness top 3 50% (avg 13%) · 4 1600m 24 gate madness top 3 25% (avg 13%) · 8 1200m 22 gate WTA wins 13% (avg 4.5%) · 8	1400m 22 gate WTA wins 0.0% (avg 4.5%) · 23 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13 1600m 22 gate WTA wins 3.8% (avg 4.5%) · 26
Getting Hammered	205	0.7× avg	1600m 22 gate WTA wins 12% (avg 4.5%) · 26 2000m 22 gate WTA wins 5.0% (avg 4.5%) · 40 1600m 24 gate madness top 3 13% (avg 13%) · 8	1000m 24 gate madness top 3 0.0% (avg 13%) · 13 1800m 24 gate madness top 3 7.3% (avg 13%) · 41 2200m 24 gate madness top 3 7.8% (avg 13%) · 64
Privileged Larry	192	1.3× avg	1800m 24 gate madness top 3 24% (avg 13%) · 41 2000m 22 gate WTA wins 7.5% (avg 4.5%) · 40 2200m 22 gate WTA wins 7.7% (avg 4.5%) · 13	1600m 24 gate madness top 3 0.0% (avg 13%) · 8 1600m 22 gate WTA wins 3.8% (avg 4.5%) · 26
Tokens	192	1.6× avg	2000m 22 gate WTA wins 13% (avg 4.5%) · 40 1800m 24 gate madness top 3 24% (avg 13%) · 41 2200m 22 gate WTA wins 15% (avg 4.5%) · 13	1600m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1600m 24 gate madness top 3 0.0% (avg 13%) · 8
Silva Surfer	192	1.3× avg	1800m 24 gate madness top 3 20% (avg 13%) · 41 2200m 24 gate madness top 3 16% (avg 13%) · 64 2200m 22 gate WTA wins 7.7% (avg 4.5%) · 13	1600m 22 gate WTA wins 3.8% (avg 4.5%) · 26
Crazy Triumph	175	1.4× avg	1400m 24 gate madness top 3 23% (avg 13%) · 26 1000m 24 gate madness top 3 23% (avg 13%) · 13 1600m 22 gate WTA wins 7.7% (avg 4.5%) · 26	1200m 22 gate WTA wins 3.8% (avg 4.5%) · 26 1400m 22 gate WTA wins 4.3% (avg 4.5%) · 23
Crazy Desire	167	1.3× avg	1000m 24 gate madness top 3 31% (avg 13%) · 13 1200m 22 gate WTA wins 7.7% (avg 4.5%) · 26 1200m 24 gate madness top 3 18% (avg 13%) · 11	1600m 22 gate WTA wins 3.8% (avg 4.5%) · 26 1400m 24 gate madness top 3 12% (avg 13%) · 26 1400m 22 gate WTA wins 4.3% (avg 4.5%) · 23
Cuz Tokens	158	1.2× avg	1800m 24 gate madness top 3 20% (avg 13%) · 41 2000m 22 gate WTA wins 5.0% (avg 4.5%) · 40 2200m 24 gate madness top 3 13% (avg 13%) · 64	2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13
Monaro	158	1.2× avg	2200m 22 gate WTA wins 15% (avg 4.5%) · 13 2200m 24 gate madness top 3 19% (avg 13%) · 64 2000m 22 gate WTA wins 5.0% (avg 4.5%) · 40	1800m 24 gate madness top 3 4.9% (avg 13%) · 41
Daisy Tokens	158	0.8× avg	2200m 24 gate madness top 3 14% (avg 13%) · 64	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 40 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13 1800m 24 gate madness top 3 9.8% (avg 13%) · 41
Missing in Action	149	1.1× avg	1400m 22 gate WTA wins 8.7% (avg 4.5%) · 23 1200m 22 gate WTA wins 7.7% (avg 4.5%) · 26 1000m 24 gate madness top 3 15% (avg 13%) · 13	1600m 24 gate madness top 3 0.0% (avg 13%) · 8 1200m 24 gate madness top 3 9.1% (avg 13%) · 11 1400m 24 gate madness top 3 12% (avg 13%) · 26
Virtual Housewife	141	1.2× avg	1400m 24 gate madness top 3 23% (avg 13%) · 26 1000m 24 gate madness top 3 15% (avg 13%) · 13	1000m 22 gate WTA wins 2.4% (avg 4.5%) · 42 1200m 24 gate madness top 3 9.1% (avg 13%) · 11 1200m 22 gate WTA wins 3.8% (avg 4.5%) · 26
Virtual Insanity	141	1.1× avg	1000m 24 gate madness top 3 31% (avg 13%) · 13 1400m 22 gate WTA wins 8.7% (avg 4.5%) · 23 1200m 22 gate WTA wins 7.7% (avg 4.5%) · 26	1200m 24 gate madness top 3 0.0% (avg 13%) · 11 1000m 22 gate WTA wins 2.4% (avg 4.5%) · 42 1400m 24 gate madness top 3 7.7% (avg 13%) · 26
The Kill Code	141	1.0× avg	1400m 22 gate WTA wins 13% (avg 4.5%) · 23 1000m 22 gate WTA wins 7.1% (avg 4.5%) · 42	1000m 24 gate madness top 3 0.0% (avg 13%) · 13 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1200m 24 gate madness top 3 9.1% (avg 13%) · 11
Starling Fang	140	0.7× avg	—	1800m 24 gate madness top 3 3.3% (avg 13%) · 30 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 18 2200m 24 gate madness top 3 11% (avg 13%) · 64
Nakatomi Plaza	135	1.8× avg	1400m 24 gate madness top 3 27% (avg 13%) · 26 1800m 24 gate madness top 3 22% (avg 13%) · 41 1600m 24 gate madness top 3 25% (avg 13%) · 8	1600m 22 gate WTA wins 3.8% (avg 4.5%) · 26
Nothing Missing	126	0.9× avg	1200m 24 gate madness top 3 27% (avg 13%) · 11 1200m 22 gate WTA wins 7.7% (avg 4.5%) · 26 1600m 24 gate madness top 3 13% (avg 13%) · 8	1000m 24 gate madness top 3 0.0% (avg 13%) · 13 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 8
Harmonious Hearing	97	0.6× avg	—	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1600m 24 gate madness top 3 0.0% (avg 13%) · 8 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13
GARDEN WARRIOR	72	0.3× avg	—	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1000m 22 gate WTA wins 2.4% (avg 4.5%) · 42
Tamahagane	69	1.0× avg	1000m 22 gate WTA wins 7.1% (avg 4.5%) · 42	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18 1000m 24 gate madness top 3 11% (avg 13%) · 9
Doechii	69	1.3× avg	1000m 24 gate madness top 3 22% (avg 13%) · 9 1000m 22 gate WTA wins 7.1% (avg 4.5%) · 42	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18
Ghost of Yotei	64	1.4× avg	2200m 24 gate madness top 3 17% (avg 13%) · 64	—
28 GRAMS	51	1.6× avg	1000m 24 gate madness top 3 22% (avg 13%) · 9 1000m 22 gate WTA wins 7.1% (avg 4.5%) · 42	—

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.

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).