Team report · Lower league

Half Measured

Compare with

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
Rogue Viper	608	1.1× avg	1400m 24 gate madness top 3 50% (avg 13%) · 10 1200m 24 gate madness top 3 44% (avg 13%) · 9 1000m 16 gate WTA wins 21% (avg 6.3%) · 14	1400m 6 gate WTA wins 5.0% (avg 17%) · 20 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 18 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 9
Moder	587	1.2× avg	1400m 24 gate madness top 3 50% (avg 13%) · 10 1400m 24 gate WTA wins 25% (avg 4.2%) · 12 1000m 24 gate madness top 3 36% (avg 13%) · 14	1200m 12 gate WTA wins 0.0% (avg 8.3%) · 12 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 9 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 10
Bonemass	503	0.5× avg	2000m 4 gate WTA wins 67% (avg 25%) · 3 1600m 6 gate madness top 3 57% (avg 50%) · 7 2000m 6 gate madness top 3 50% (avg 50%) · 14	2200m 24 gate madness top 3 2.8% (avg 13%) · 36 1000m 24 gate madness top 3 0.0% (avg 13%) · 14 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 39
M Chaos Grid	485	0.4× avg	1600m 6 gate madness top 3 55% (avg 50%) · 29	2200m 24 gate madness top 3 0.0% (avg 13%) · 36 2000m 6 gate WTA wins 0.0% (avg 17%) · 27 1800m 24 gate madness top 3 0.0% (avg 13%) · 27
Wormhole	473	1.0× avg	1600m 24 gate madness top 3 67% (avg 13%) · 3 1600m 22 gate WTA wins 20% (avg 4.5%) · 10 1600m 24 gate WTA wins 10% (avg 4.2%) · 39	1400m 24 gate madness top 3 0.0% (avg 13%) · 10 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 17 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 12
L Royal Chief	467	0.7× avg	1600m 24 gate madness top 3 33% (avg 13%) · 3 2200m 6 gate madness top 3 54% (avg 50%) · 35 2000m 6 gate madness top 3 53% (avg 50%) · 40	2000m 6 gate WTA wins 4.4% (avg 17%) · 45 1000m 24 gate madness top 3 0.0% (avg 13%) · 14 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 39
Shader	401	0.3× avg	1600m 4 gate WTA wins 50% (avg 25%) · 4	1200m 6 gate WTA wins 0.0% (avg 17%) · 18 1000m 6 gate madness top 3 13% (avg 50%) · 16 1400m 12 gate madness top 3 0.0% (avg 25%) · 8
Drift Strike	396	1.3× avg	1200m 22 gate WTA wins 30% (avg 4.5%) · 10 2200m 24 gate madness top 3 33% (avg 13%) · 36 1400m 22 gate WTA wins 25% (avg 4.5%) · 8	1400m 24 gate madness top 3 0.0% (avg 13%) · 10 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 14 1400m 12 gate madness top 3 11% (avg 25%) · 9
Donk	362	0.9× avg	1600m 16 gate WTA wins 20% (avg 6.3%) · 10 2200m 22 gate WTA wins 20% (avg 4.5%) · 5 1200m 24 gate WTA wins 8.3% (avg 4.2%) · 12	1000m 24 gate madness top 3 0.0% (avg 13%) · 14 1800m 24 gate madness top 3 3.7% (avg 13%) · 27 1400m 24 gate madness top 3 0.0% (avg 13%) · 10
L Bane	277	1.0× avg	2200m 6 gate WTA wins 40% (avg 17%) · 5 1800m 24 gate WTA wins 20% (avg 4.2%) · 5 2000m 4 gate WTA wins 40% (avg 25%) · 5	2000m 12 gate madness top 3 10% (avg 25%) · 10 1000m 24 gate madness top 3 0.0% (avg 13%) · 7 1800m 6 gate WTA wins 0.0% (avg 17%) · 5
S Nova	269	1.4× avg	1000m 24 gate madness top 3 57% (avg 13%) · 7 1200m 24 gate madness top 3 60% (avg 13%) · 5 1800m 24 gate madness top 3 33% (avg 13%) · 12	1800m 12 gate WTA wins 0.0% (avg 8.3%) · 9 1400m 4 gate WTA wins 13% (avg 25%) · 8 1400m 24 gate madness top 3 0.0% (avg 13%) · 4
S Cyber Anvil	181	0.3× avg	1200m 24 gate madness top 3 22% (avg 13%) · 9	2200m 24 gate madness top 3 0.0% (avg 13%) · 24 1800m 24 gate madness top 3 0.0% (avg 13%) · 20 1000m 24 gate madness top 3 0.0% (avg 13%) · 14
Chandler Bling	171	0.8× avg	1000m 24 gate madness top 3 29% (avg 13%) · 7 1200m 24 gate WTA wins 17% (avg 4.2%) · 6 1800m 24 gate WTA wins 10% (avg 4.2%) · 10	2200m 24 gate madness top 3 0.0% (avg 13%) · 31 1200m 24 gate madness top 3 0.0% (avg 13%) · 4 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 10
Granite Rover	145	0.1× avg	—	1200m 6 gate madness top 3 0.0% (avg 50%) · 6 2200m 24 gate madness top 3 0.0% (avg 13%) · 19 1800m 24 gate madness top 3 0.0% (avg 13%) · 15

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).