Team report · all teams · alpha

KING SHELDIKAR

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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
She So Fine	194	1.0× avg	1400m 22 gate WTA wins 13% (avg 4.5%) · 15 1400m 24 gate madness top 3 22% (avg 13%) · 18 1600m 24 gate madness top 3 20% (avg 13%) · 5	2200m 24 gate madness top 3 6.8% (avg 13%) · 44 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 18 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 9
Working Girl	142	0.6× avg	2000m 22 gate WTA wins 6.9% (avg 4.5%) · 29 1600m 22 gate WTA wins 5.6% (avg 4.5%) · 18	1800m 24 gate madness top 3 3.6% (avg 13%) · 28 2200m 24 gate madness top 3 6.8% (avg 13%) · 44 1400m 24 gate madness top 3 5.6% (avg 13%) · 18
Aretha Franklin	133	2.2× avg	2200m 22 gate WTA wins 44% (avg 4.5%) · 9 2200m 24 gate madness top 3 30% (avg 13%) · 44 2000m 22 gate WTA wins 10% (avg 4.5%) · 29	1600m 24 gate madness top 3 0.0% (avg 13%) · 5
Iridium Quetzal	133	1.8× avg	2200m 24 gate madness top 3 25% (avg 13%) · 44 2000m 22 gate WTA wins 10% (avg 4.5%) · 29 1600m 22 gate WTA wins 11% (avg 4.5%) · 18	1600m 24 gate madness top 3 0.0% (avg 13%) · 5 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 9
The African Queen	133	1.7× avg	2000m 22 gate WTA wins 17% (avg 4.5%) · 29 2200m 24 gate madness top 3 25% (avg 13%) · 44 2200m 22 gate WTA wins 11% (avg 4.5%) · 9	1600m 24 gate madness top 3 0.0% (avg 13%) · 5 1800m 24 gate madness top 3 11% (avg 13%) · 28
McBubba	128	0.8× avg	1800m 24 gate madness top 3 18% (avg 13%) · 28	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 29 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 18 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 9
Convergence	110	1.2× avg	2200m 24 gate madness top 3 18% (avg 13%) · 44 2200m 22 gate WTA wins 11% (avg 4.5%) · 9 1800m 24 gate madness top 3 14% (avg 13%) · 28	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 29
Bertha The Bully	106	1.1× avg	1600m 24 gate madness top 3 40% (avg 13%) · 5 1000m 24 gate madness top 3 22% (avg 13%) · 9 1400m 22 gate WTA wins 6.7% (avg 4.5%) · 15	2200m 22 gate WTA wins 0.0% (avg 4.5%) · 9 2200m 24 gate madness top 3 11% (avg 13%) · 44 1400m 24 gate madness top 3 11% (avg 13%) · 18
Captain America	104	0.4× avg	—	2200m 24 gate madness top 3 4.5% (avg 13%) · 44 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 18 1800m 24 gate madness top 3 7.1% (avg 13%) · 28
Big Bold Bert	93	0.7× avg	1400m 22 gate WTA wins 6.7% (avg 4.5%) · 15 1200m 24 gate madness top 3 17% (avg 13%) · 6	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 28 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 17 1400m 24 gate madness top 3 11% (avg 13%) · 18
Big Bad Bert	93	0.6× avg	1400m 22 gate WTA wins 6.7% (avg 4.5%) · 15	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 28 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 17 1200m 24 gate madness top 3 0.0% (avg 13%) · 6
Age of Aquarius	93	1.2× avg	1000m 22 gate WTA wins 11% (avg 4.5%) · 28 1000m 24 gate madness top 3 22% (avg 13%) · 9 1200m 22 gate WTA wins 5.9% (avg 4.5%) · 17	1200m 24 gate madness top 3 0.0% (avg 13%) · 6 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 15 1400m 24 gate madness top 3 11% (avg 13%) · 18
Psychedelic	93	0.7× avg	1000m 24 gate madness top 3 33% (avg 13%) · 9 1200m 22 gate WTA wins 5.9% (avg 4.5%) · 17	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 28 1200m 24 gate madness top 3 0.0% (avg 13%) · 6 1400m 24 gate madness top 3 5.6% (avg 13%) · 18
Big Bad Bertha	93	2.3× avg	1400m 24 gate madness top 3 33% (avg 13%) · 18 1000m 22 gate WTA wins 14% (avg 4.5%) · 28 1000m 24 gate madness top 3 33% (avg 13%) · 9	1400m 22 gate WTA wins 0.0% (avg 4.5%) · 15
Devils Tower	93	0.4× avg	1400m 22 gate WTA wins 6.7% (avg 4.5%) · 15	1000m 24 gate madness top 3 0.0% (avg 13%) · 9 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 17 1200m 24 gate madness top 3 0.0% (avg 13%) · 6
Metabolism	75	2.0× avg	1200m 24 gate madness top 3 50% (avg 13%) · 6 1400m 22 gate WTA wins 13% (avg 4.5%) · 15 1000m 24 gate madness top 3 22% (avg 13%) · 9	1000m 22 gate WTA wins 3.6% (avg 4.5%) · 28
Synner	74	0.1× avg	—	2200m 24 gate madness top 3 0.0% (avg 13%) · 30 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 19 1800m 24 gate madness top 3 5.3% (avg 13%) · 19
Queen Atlas	73	2.6× avg	2200m 24 gate madness top 3 46% (avg 13%) · 24 1800m 24 gate madness top 3 27% (avg 13%) · 15 1600m 22 gate WTA wins 10% (avg 4.5%) · 10	1600m 24 gate madness top 3 0.0% (avg 13%) · 3 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 5
Sweet Jethro	73	0.6× avg	1600m 24 gate madness top 3 33% (avg 13%) · 3	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 16 1800m 24 gate madness top 3 6.7% (avg 13%) · 15 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 10
Metabolic	72	0.9× avg	1400m 24 gate madness top 3 17% (avg 13%) · 18 1200m 22 gate WTA wins 5.9% (avg 4.5%) · 17	1000m 24 gate madness top 3 0.0% (avg 13%) · 9 1000m 22 gate WTA wins 3.6% (avg 4.5%) · 28
Jazz Singer	60	0.5× avg	—	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 13 1800m 24 gate madness top 3 7.7% (avg 13%) · 13 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 8
Iron Bertha	60	2.0× avg	2000m 22 gate WTA wins 15% (avg 4.5%) · 13 2200m 24 gate madness top 3 25% (avg 13%) · 20 1800m 24 gate madness top 3 23% (avg 13%) · 13	1600m 22 gate WTA wins 0.0% (avg 4.5%) · 8 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 4
Despacita	59	0.3× avg	—	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 16 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 10 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 9
Water Bug	49	0.0× avg	—	1400m 24 gate madness top 3 0.0% (avg 13%) · 8 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 13 1200m 24 gate madness top 3 0.0% (avg 13%) · 3
Zimride1	41	2.1× avg	1000m 22 gate WTA wins 21% (avg 4.5%) · 14 1200m 24 gate madness top 3 33% (avg 13%) · 3 1200m 22 gate WTA wins 11% (avg 4.5%) · 9	1400m 24 gate madness top 3 10% (avg 13%) · 10
Crimson Tide	39	2.1× avg	1000m 22 gate WTA wins 14% (avg 4.5%) · 14 1400m 22 gate WTA wins 13% (avg 4.5%) · 8 1200m 22 gate WTA wins 11% (avg 4.5%) · 9	1200m 24 gate madness top 3 0.0% (avg 13%) · 3
Cher	37	0.0× avg	—	1400m 24 gate madness top 3 0.0% (avg 13%) · 8 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 14 1000m 24 gate madness top 3 0.0% (avg 13%) · 4
Destin	36	0.9× avg	1200m 22 gate WTA wins 13% (avg 4.5%) · 8 1200m 24 gate madness top 3 33% (avg 13%) · 3	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 14 1000m 24 gate madness top 3 0.0% (avg 13%) · 4 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 7
Iron Ox	36	0.6× avg	2000m 22 gate WTA wins 10% (avg 4.5%) · 10	1800m 24 gate madness top 3 0.0% (avg 13%) · 9 2200m 24 gate madness top 3 7.1% (avg 13%) · 14 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 3
Couture	28	0.4× avg	1600m 22 gate WTA wins 10% (avg 4.5%) · 10	1800m 24 gate madness top 3 0.0% (avg 13%) · 15 1600m 24 gate madness top 3 0.0% (avg 13%) · 3
McFleet	23	1.3× avg	1800m 24 gate madness top 3 23% (avg 13%) · 13	1600m 22 gate WTA wins 0.0% (avg 4.5%) · 8
Big Beautiful Bertha	20	0.8× avg	1000m 24 gate madness top 3 22% (avg 13%) · 9	1200m 24 gate madness top 3 0.0% (avg 13%) · 6 1600m 24 gate madness top 3 0.0% (avg 13%) · 5

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 00, with each round weighted by how often maps reach it (most maps end by round 27–30).