Team report · Lower league

Ruthless Roofer

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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
God Eater	610	1.2× avg	2000m 22 gate WTA wins 14% (avg 4.5%) · 43 2200m 6 gate WTA wins 44% (avg 17%) · 9 1800m 24 gate madness top 3 25% (avg 13%) · 56	1800m 6 gate madness top 3 20% (avg 50%) · 10 2200m 1v1 wins 27% (avg 50%) · 22 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 15
A Horse With No Name	533	1.2× avg	1400m 16 gate WTA wins 17% (avg 6.3%) · 30 1600m 16 gate WTA wins 20% (avg 6.3%) · 15 2200m 22 gate WTA wins 15% (avg 4.5%) · 13	1400m 12 gate madness top 3 0.0% (avg 25%) · 8 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 43 1600m 24 gate madness top 3 0.0% (avg 13%) · 10
Jolly Giant	506	1.6× avg	1600m 24 gate WTA wins 17% (avg 4.2%) · 52 2200m 22 gate WTA wins 23% (avg 4.5%) · 13 1600m 16 gate WTA wins 20% (avg 6.3%) · 15	1400m 16 gate WTA wins 0.0% (avg 6.3%) · 30 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 15 1400m 12 gate madness top 3 13% (avg 25%) · 8
Mr. Mister	505	1.3× avg	1400m 16 gate WTA wins 23% (avg 6.3%) · 30 1000m 24 gate madness top 3 29% (avg 13%) · 21 1400m 22 gate WTA wins 13% (avg 4.5%) · 24	1200m 6 gate WTA wins 9.3% (avg 17%) · 43 1600m 24 gate WTA wins 1.9% (avg 4.2%) · 52 1400m 12 gate madness top 3 13% (avg 25%) · 8
Eagle Man	496	1.1× avg	1800m 12 gate WTA wins 50% (avg 8.3%) · 6 2000m 22 gate WTA wins 9.3% (avg 4.5%) · 43 1400m 24 gate madness top 3 23% (avg 13%) · 26	1800m 6 gate WTA wins 0.0% (avg 17%) · 8 2000m 12 gate madness top 3 13% (avg 25%) · 16 1000m 22 gate WTA wins 2.1% (avg 4.5%) · 47
Run Run	487	0.5× avg	1000m 16 gate WTA wins 6.3% (avg 6.3%) · 16	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 47 1400m 24 gate madness top 3 3.8% (avg 13%) · 26 1600m 24 gate madness top 3 0.0% (avg 13%) · 10
Lightning Strike	459	1.2× avg	1400m 12 gate madness top 3 88% (avg 25%) · 8 1000m 16 gate WTA wins 19% (avg 6.3%) · 16 1000m 22 gate WTA wins 11% (avg 4.5%) · 47	1400m 24 gate madness top 3 3.8% (avg 13%) · 26 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 15 1200m 24 gate WTA wins 0.0% (avg 4.2%) · 15
Money Girl	443	1.1× avg	1200m 24 gate madness top 3 50% (avg 13%) · 4 1600m 24 gate madness top 3 30% (avg 13%) · 10 1400m 16 gate WTA wins 13% (avg 6.3%) · 30	1000m 24 gate madness top 3 0.0% (avg 13%) · 13 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 24 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13
Money a Do It	412	1.1× avg	1800m 24 gate WTA wins 15% (avg 4.2%) · 13 1200m 24 gate madness top 3 20% (avg 13%) · 15 1600m 22 gate WTA wins 7.7% (avg 4.5%) · 26	1600m 16 gate WTA wins 0.0% (avg 6.3%) · 15 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 15 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13
Nomad Gods	366	1.1× avg	1800m 24 gate WTA wins 15% (avg 4.2%) · 13 1800m 24 gate madness top 3 20% (avg 13%) · 56 2000m 22 gate WTA wins 7.0% (avg 4.5%) · 43	2200m 16 gate WTA wins 3.3% (avg 6.3%) · 30 2200m 4 gate WTA wins 20% (avg 25%) · 25 2000m 6 gate WTA wins 13% (avg 17%) · 8
Bulova	360	0.3× avg	—	1000m 24 gate madness top 3 0.0% (avg 13%) · 21 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 52 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 47
Force Of Justice	343	0.5× avg	1200m 22 gate WTA wins 7.7% (avg 4.5%) · 26	1800m 24 gate madness top 3 3.6% (avg 13%) · 56 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 43 2200m 24 gate madness top 3 6.4% (avg 13%) · 78
Oxytocin	330	0.8× avg	2200m 16 gate WTA wins 6.7% (avg 6.3%) · 30	1800m 24 gate madness top 3 3.6% (avg 13%) · 56 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13 2000m 22 gate WTA wins 2.3% (avg 4.5%) · 43
She Don't Wanna Man	317	1.1× avg	2200m 16 gate WTA wins 20% (avg 6.3%) · 30 2000m 12 gate madness top 3 38% (avg 25%) · 16 2000m 22 gate WTA wins 7.0% (avg 4.5%) · 43	2200m 6 gate WTA wins 0.0% (avg 17%) · 9 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13 1800m 24 gate madness top 3 8.3% (avg 13%) · 48
Monty the Mole	298	0.2× avg	—	2200m 24 gate madness top 3 2.9% (avg 13%) · 68 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 52 1800m 24 gate madness top 3 3.6% (avg 13%) · 56
Pyro God	288	1.2× avg	1000m 24 gate madness top 3 29% (avg 13%) · 21 1000m 12 gate madness top 3 50% (avg 25%) · 6 1200m 22 gate WTA wins 7.7% (avg 4.5%) · 26	1000m 22 gate WTA wins 2.1% (avg 4.5%) · 47 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 15 1400m 12 gate madness top 3 13% (avg 25%) · 8
Floater	245	1.0× avg	1000m 24 gate madness top 3 29% (avg 13%) · 21 1200m 24 gate madness top 3 20% (avg 13%) · 15 1200m 12 gate WTA wins 17% (avg 8.3%) · 6	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 47 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 24 1000m 4 gate WTA wins 13% (avg 25%) · 30
Terrible Comet	199	1.3× avg	2200m 24 gate madness top 3 19% (avg 13%) · 78 2200m 16 gate WTA wins 10% (avg 6.3%) · 30 2200m 22 gate WTA wins 7.7% (avg 4.5%) · 13	2000m 22 gate WTA wins 2.3% (avg 4.5%) · 43 1800m 24 gate WTA wins 0.0% (avg 4.2%) · 13
Wanda Vision	178	0.6× avg	1000m 24 gate madness top 3 14% (avg 13%) · 21 1200m 24 gate madness top 3 13% (avg 13%) · 15	1400m 24 gate madness top 3 3.8% (avg 13%) · 26 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 16 1000m 22 gate WTA wins 2.1% (avg 4.5%) · 47
Boat Shoes	178	0.6× avg	1600m 16 gate WTA wins 6.7% (avg 6.3%) · 15 1600m 1v1 wins 50% (avg 50%) · 16	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 52 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 30 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 26
Mixed Feels	139	0.8× avg	1600m 24 gate madness top 3 30% (avg 13%) · 10 1400m 24 gate madness top 3 15% (avg 13%) · 26	1000m 24 gate madness top 3 0.0% (avg 13%) · 8 1800m 24 gate madness top 3 0.0% (avg 13%) · 8 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 16
Dizzy Dean	63	0.3× avg	—	1000m 12 gate madness top 3 0.0% (avg 25%) · 6 1000m 24 gate madness top 3 4.8% (avg 13%) · 21 1200m 24 gate WTA wins 0.0% (avg 4.2%) · 15
Degreelessness Mode	53	0.8× avg	2200m 16 gate WTA wins 6.7% (avg 6.3%) · 30	2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13 2200m 24 gate madness top 3 10% (avg 13%) · 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.

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).