Team report · Lower league

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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
Hammered Beast	542	1.1× avg	1000m 24 gate madness top 3 50% (avg 13%) · 4 1800m 12 gate WTA wins 20% (avg 8.3%) · 10 1600m 24 gate madness top 3 25% (avg 13%) · 8	1600m 6 gate WTA wins 0.0% (avg 17%) · 8 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 25
Getting Hammered	535	1.0× avg	2000m 6 gate WTA wins 32% (avg 17%) · 34 1600m 22 gate WTA wins 12% (avg 4.5%) · 26 1800m 24 gate WTA wins 14% (avg 4.2%) · 7	1000m 24 gate madness top 3 0.0% (avg 13%) · 13 1800m 6 gate WTA wins 7.7% (avg 17%) · 13 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13
Parinirvana	507	0.9× avg	1600m 24 gate madness top 3 38% (avg 13%) · 8 1800m 24 gate WTA wins 14% (avg 4.2%) · 7 1200m 22 gate WTA wins 13% (avg 4.5%) · 8	1800m 6 gate WTA wins 0.0% (avg 17%) · 13 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 23 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13
Ghost Strike	485	1.2× avg	1600m 22 gate WTA wins 23% (avg 4.5%) · 26 1000m 22 gate WTA wins 9.5% (avg 4.5%) · 42 2200m 16 gate WTA wins 14% (avg 6.3%) · 14	1400m 12 gate madness top 3 0.0% (avg 25%) · 13 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1800m 12 gate madness top 3 0.0% (avg 25%) · 4
Crazy Desire	443	1.1× avg	1200m 24 gate madness top 3 36% (avg 13%) · 22 1000m 24 gate madness top 3 19% (avg 13%) · 26 1200m 22 gate WTA wins 7.7% (avg 4.5%) · 26	1400m 16 gate WTA wins 0.0% (avg 6.3%) · 14 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 8 1000m 12 gate madness top 3 17% (avg 25%) · 12
Silva Surfer	439	1.2× avg	1600m 24 gate WTA wins 16% (avg 4.2%) · 25 1800m 12 gate madness top 3 75% (avg 25%) · 4 2000m 6 gate WTA wins 26% (avg 17%) · 34	2200m 6 gate WTA wins 7.1% (avg 17%) · 14 2200m 6 gate madness top 3 35% (avg 50%) · 20 1600m 22 gate WTA wins 3.8% (avg 4.5%) · 26
Tokens	428	1.6× avg	1800m 24 gate madness top 3 28% (avg 13%) · 54 2000m 22 gate WTA wins 13% (avg 4.5%) · 40 1800m 16 gate WTA wins 40% (avg 6.3%) · 5	1600m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1800m 12 gate madness top 3 0.0% (avg 25%) · 4 1600m 24 gate madness top 3 0.0% (avg 13%) · 8
Crazy Triumph	384	1.1× avg	1400m 24 gate madness top 3 23% (avg 13%) · 26 1200m 6 gate WTA wins 28% (avg 17%) · 29 1400m 24 gate WTA wins 14% (avg 4.2%) · 7	1400m 16 gate WTA wins 0.0% (avg 6.3%) · 14 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 10 1000m 4 gate WTA wins 14% (avg 25%) · 14
Nothing Missing	305	0.9× avg	1200m 24 gate WTA wins 14% (avg 4.2%) · 7 1400m 24 gate WTA wins 14% (avg 4.2%) · 7 1200m 22 gate WTA wins 7.7% (avg 4.5%) · 26	1400m 22 gate WTA wins 0.0% (avg 4.5%) · 23 1400m 4 gate WTA wins 15% (avg 25%) · 20 2200m 24 gate madness top 3 6.3% (avg 13%) · 16
Missing in Action	296	0.9× avg	1200m 12 gate WTA wins 30% (avg 8.3%) · 10 1400m 16 gate WTA wins 14% (avg 6.3%) · 14 1200m 24 gate WTA wins 14% (avg 4.2%) · 7	1600m 24 gate madness top 3 0.0% (avg 13%) · 8 1200m 6 gate madness top 3 34% (avg 50%) · 35 1400m 6 gate WTA wins 8.3% (avg 17%) · 12
Privileged Larry	291	1.3× avg	1800m 24 gate madness top 3 26% (avg 13%) · 54 2000m 22 gate WTA wins 7.5% (avg 4.5%) · 40 1200m 24 gate madness top 3 18% (avg 13%) · 11	1600m 24 gate madness top 3 0.0% (avg 13%) · 8 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 7 1800m 16 gate WTA wins 0.0% (avg 6.3%) · 5
Nakatomi Plaza	289	1.2× avg	1400m 24 gate madness top 3 27% (avg 13%) · 26 1400m 4 gate WTA wins 45% (avg 25%) · 20 1800m 24 gate madness top 3 22% (avg 13%) · 41	1600m 16 gate WTA wins 0.0% (avg 6.3%) · 7 1400m 1v1 wins 39% (avg 50%) · 36 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 7
The Kill Code	286	1.0× avg	1000m 12 gate madness top 3 67% (avg 25%) · 12 1400m 22 gate WTA wins 13% (avg 4.5%) · 23 1400m 24 gate WTA wins 14% (avg 4.2%) · 7	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1200m 24 gate madness top 3 4.5% (avg 13%) · 22 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 10
Monaro	261	1.1× avg	2200m 22 gate WTA wins 15% (avg 4.5%) · 13 2200m 16 gate WTA wins 14% (avg 6.3%) · 14 2200m 24 gate madness top 3 18% (avg 13%) · 80	1800m 24 gate madness top 3 5.6% (avg 13%) · 54 2000m 6 gate WTA wins 7.7% (avg 17%) · 13 1800m 24 gate WTA wins 0.0% (avg 4.2%) · 7
Daisy Tokens	255	0.9× avg	2200m 24 gate madness top 3 15% (avg 13%) · 80 2200m 6 gate madness top 3 55% (avg 50%) · 33	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 40 2200m 4 gate WTA wins 7.7% (avg 25%) · 13 1800m 24 gate madness top 3 7.4% (avg 13%) · 54
Cuz Tokens	248	0.9× avg	1800m 24 gate madness top 3 19% (avg 13%) · 54 2000m 22 gate WTA wins 5.0% (avg 4.5%) · 40 2200m 16 gate WTA wins 7.1% (avg 6.3%) · 14	2000m 12 gate madness top 3 12% (avg 25%) · 26 2200m 6 gate madness top 3 31% (avg 50%) · 13 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13
Virtual Insanity	209	1.3× avg	1000m 24 gate madness top 3 27% (avg 13%) · 26 1000m 12 gate madness top 3 42% (avg 25%) · 12 1400m 22 gate WTA wins 8.7% (avg 4.5%) · 23	1200m 12 gate WTA wins 0.0% (avg 8.3%) · 10 1000m 22 gate WTA wins 2.4% (avg 4.5%) · 42 1400m 24 gate madness top 3 7.7% (avg 13%) · 26
Harmonious Hearing	205	0.7× avg	1400m 12 gate madness top 3 46% (avg 25%) · 13 1200m 24 gate madness top 3 14% (avg 13%) · 22	2200m 24 gate madness top 3 0.0% (avg 13%) · 16 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 25
Virtual Housewife	199	1.0× avg	1400m 24 gate madness top 3 23% (avg 13%) · 26 1000m 16 gate WTA wins 13% (avg 6.3%) · 8 1000m 24 gate madness top 3 15% (avg 13%) · 26	1000m 12 gate madness top 3 8.3% (avg 25%) · 12 1000m 22 gate WTA wins 2.4% (avg 4.5%) · 42 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 7
Starling Fang	178	0.6× avg	—	1800m 24 gate madness top 3 4.7% (avg 13%) · 43 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 25 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 18
GARDEN WARRIOR	99	0.5× avg	1400m 16 gate WTA wins 14% (avg 6.3%) · 14	1000m 24 gate madness top 3 0.0% (avg 13%) · 13 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 12
Doechii	92	1.1× avg	1000m 22 gate WTA wins 7.1% (avg 4.5%) · 42 1000m 24 gate madness top 3 18% (avg 13%) · 22	1200m 12 gate WTA wins 0.0% (avg 8.3%) · 10 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18
Tamahagane	82	0.7× avg	1000m 22 gate WTA wins 7.1% (avg 4.5%) · 42	1000m 24 gate madness top 3 4.5% (avg 13%) · 22 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18
28 GRAMS	64	1.1× avg	1000m 22 gate WTA wins 7.1% (avg 4.5%) · 42	1000m 24 gate madness top 3 9.1% (avg 13%) · 22
Ghost of Yotei	64	1.4× avg	2200m 24 gate madness top 3 17% (avg 13%) · 64	—

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.

Iron Horse Racing: Power 57.7, #4. 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).