Team report · Lower league

House o' rugs

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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
Thrill of the hunt	593	0.9× avg	1600m 6 gate madness top 3 65% (avg 50%) · 40 1200m 6 gate madness top 3 58% (avg 50%) · 45 1400m 4 gate WTA wins 29% (avg 25%) · 17	2200m 24 gate madness top 3 5.6% (avg 13%) · 72 1000m 6 gate madness top 3 21% (avg 50%) · 14 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 14
Mr Rogers	585	1.3× avg	2000m 22 gate WTA wins 19% (avg 4.5%) · 32 1600m 24 gate WTA wins 22% (avg 4.2%) · 18 1800m 24 gate madness top 3 27% (avg 13%) · 48	1400m 24 gate madness top 3 0.0% (avg 13%) · 20 1400m 6 gate WTA wins 0.0% (avg 17%) · 9 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 14
Thick thighs save lives	493	0.6× avg	1000m 6 gate madness top 3 59% (avg 50%) · 51	2200m 24 gate madness top 3 0.0% (avg 13%) · 72 1200m 4 gate WTA wins 0.0% (avg 25%) · 13 1000m 24 gate madness top 3 0.0% (avg 13%) · 23
April O'Neil	462	1.2× avg	1800m 12 gate madness top 3 71% (avg 25%) · 7 1600m 24 gate madness top 3 43% (avg 13%) · 7 1800m 12 gate WTA wins 21% (avg 8.3%) · 14	1000m 24 gate madness top 3 0.0% (avg 13%) · 10 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 20 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 19
Gnaester	443	1.4× avg	1200m 24 gate madness top 3 38% (avg 13%) · 21 1000m 24 gate madness top 3 35% (avg 13%) · 23 1200m 6 gate WTA wins 40% (avg 17%) · 25	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 20 1000m 22 gate WTA wins 2.7% (avg 4.5%) · 37 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 5
Bootleg Station Wagon	443	1.0× avg	1600m 24 gate madness top 3 29% (avg 13%) · 7 1400m 24 gate WTA wins 20% (avg 4.2%) · 5 1600m 22 gate WTA wins 10% (avg 4.5%) · 20	1000m 24 gate madness top 3 0.0% (avg 13%) · 23 2200m 24 gate madness top 3 4.2% (avg 13%) · 72 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 14
Jasper's Brat	429	1.0× avg	2000m 6 gate madness top 3 65% (avg 50%) · 40 2200m 1v1 wins 64% (avg 50%) · 50 2200m 6 gate madness top 3 50% (avg 50%) · 28	2000m 4 gate WTA wins 7.7% (avg 25%) · 13 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 14 2000m 6 gate WTA wins 7.1% (avg 17%) · 28
Boo! Khakis	411	1.4× avg	2200m 24 gate madness top 3 33% (avg 13%) · 72 2200m 16 gate WTA wins 30% (avg 6.3%) · 10 2000m 22 gate WTA wins 13% (avg 4.5%) · 32	1600m 24 gate madness top 3 0.0% (avg 13%) · 7 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 18 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 10
Beaver Pelt	366	1.1× avg	2200m 22 gate WTA wins 20% (avg 4.5%) · 10 1800m 24 gate madness top 3 23% (avg 13%) · 48 1400m 16 gate WTA wins 20% (avg 6.3%) · 10	1800m 12 gate WTA wins 0.0% (avg 8.3%) · 14 1600m 24 gate madness top 3 0.0% (avg 13%) · 7 2000m 12 gate madness top 3 15% (avg 25%) · 26
Colonel Sanders	360	1.3× avg	1200m 24 gate madness top 3 33% (avg 13%) · 21 1000m 22 gate WTA wins 11% (avg 4.5%) · 37 1600m 24 gate madness top 3 29% (avg 13%) · 7	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 32 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 19 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 5
Uptown Girl	336	1.2× avg	1600m 24 gate WTA wins 11% (avg 4.2%) · 18 2200m 24 gate madness top 3 19% (avg 13%) · 72 2000m 12 gate madness top 3 38% (avg 25%) · 26	1600m 22 gate WTA wins 0.0% (avg 4.5%) · 20 2000m 6 gate WTA wins 11% (avg 17%) · 28 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 10
Slava Ukraini!	312	0.8× avg	2200m 6 gate madness top 3 56% (avg 50%) · 41 2000m 6 gate madness top 3 50% (avg 50%) · 40	2200m 24 gate madness top 3 2.8% (avg 13%) · 72 1800m 12 gate madness top 3 0.0% (avg 25%) · 7 1800m 24 gate madness top 3 4.2% (avg 13%) · 48
Malkovich Malkovich?	279	1.4× avg	2200m 22 gate WTA wins 30% (avg 4.5%) · 10 2000m 22 gate WTA wins 13% (avg 4.5%) · 32 2200m 24 gate madness top 3 19% (avg 13%) · 72	1400m 22 gate WTA wins 0.0% (avg 4.5%) · 19 1400m 12 gate madness top 3 15% (avg 25%) · 13 1800m 16 gate WTA wins 0.0% (avg 6.3%) · 4
Gozer the Gozerian	240	1.1× avg	1000m 22 gate WTA wins 14% (avg 4.5%) · 37 1000m 16 gate WTA wins 40% (avg 6.3%) · 5 1000m 12 gate madness top 3 46% (avg 25%) · 13	1000m 4 gate WTA wins 10% (avg 25%) · 10 1000m 6 gate madness top 3 41% (avg 50%) · 37 1400m 24 gate madness top 3 10% (avg 13%) · 20
Flying Gerbil	209	1.4× avg	1200m 24 gate madness top 3 43% (avg 13%) · 21 1000m 24 gate madness top 3 22% (avg 13%) · 23 1400m 24 gate WTA wins 20% (avg 4.2%) · 5	1800m 24 gate madness top 3 0.0% (avg 13%) · 13 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 20 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 10
Lace Panties	192	0.1× avg	—	1000m 24 gate madness top 3 0.0% (avg 13%) · 23 1200m 24 gate madness top 3 0.0% (avg 13%) · 21 1400m 24 gate madness top 3 0.0% (avg 13%) · 20
Larry²	161	0.8× avg	1600m 24 gate WTA wins 11% (avg 4.2%) · 18 1000m 24 gate madness top 3 13% (avg 13%) · 23	2200m 16 gate WTA wins 0.0% (avg 6.3%) · 10 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 10 1000m 22 gate WTA wins 2.7% (avg 4.5%) · 37
Get some stink on it	151	0.3× avg	—	1000m 24 gate madness top 3 0.0% (avg 13%) · 23 1200m 24 gate madness top 3 0.0% (avg 13%) · 21 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 37

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.

Elder Racing: Power 41.3, #36. 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).