Mathemann

Mathemann — CS2 Stats

DE76561198868091720[U:1:907825992]Steam profile ↗✓ No bans

1,594Tracked matches55%Win rate2021Tracked since
1,943Hours in CS27Hrs last 2 wks
CSDB Rating3.8 Learning
Premier CS Rating8,033Light Blue band · top ~64.3% of ranked players (population est.)
CSDB Leaderboard#34274 of 46156 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate39.7%39.7%41.4%1.8% short
Shot accuracy3.4%6.7%9.0%5.6% short
Kill/death ratio0.980.910.97meets
Match win rate43.1%42.1%43.7%meets

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMathemannPREMIER8,033 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning50
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY46486Last 10046%Win rateWWWLWLLLWT

Last 10 vs previous 10: -20pp win rate · +0.05 avg rating

Player DNA

Aim3.7
Aggression7.3
Utility5.3
Positioning5.0
Opening Duels2.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim3.7
Positioning5.0
Utility5.3
Mechanics2.5
Opening Duels2.4
Win Impact6.7

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time632ms−76ms
first ⅓ avg 707ms → last ⅓ avg 632ms
Headshot accuracy16.8%+0.7%
first ⅓ avg 16.0% → last ⅓ avg 16.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.14Best rating — ancient 13–7
130Biggest win — nuke
5Longest win streak
W3Current streak
67In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 60% over 15ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB20101050%-0.00
dust2B1910953%-0.03
nukeA159660%-0.00
anubisC146843%-0.01
mirageC125742%-0.01
ancientD102820%-0.01
cacheC94544%0.02
train1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,557Lifetime kills
0.98K/D · Top 50% of Light Blue band
3,501Matches
43.1%Match win rate · Top 50% of Light Blue band
39.7%Headshot %
3.4%Shot accuracy
7,553MVPs
1,114Hours (in match)
2,790Bombs planted
624Bombs defused

Most-used weapons

Lifetime map wins

5,152inferno
4,968dust2
3,291nuke
1,501vertigo
1,407train
155office
51lake
49ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.1%Headshot accuracy
28.3%Accuracy (enemy spotted)
32.1%Spray accuracy
61.3%Counter-strafing
9.6°Preaim
631msReaction time
34.9%T opening success
44.7%CT opening success
0.40Enemies flashed / flash
4.3%Flash assists
13.15HE damage / grenade
7.32Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4003 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 34.9037% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–10.0620%30 Aug
cache13–90.0524%30 Aug
anubis13–60.0412%29 Aug
ancient10–130.0115%29 Aug
nuke13–50.0510%29 Aug
cache9–130.0419%29 Aug
inferno8–13-0.0017%29 Aug
mirage9–130.0214%29 Aug
mirage13–1-0.0221%29 Aug
inferno12–120.0314%28 Aug
inferno13–100.0116%28 Aug
anubis13–8-0.0311%28 Aug
mirage3–13-0.0431%28 Aug
nuke13–00.0419%28 Aug
inferno13–10-0.016%28 Aug
nuke16–12-0.0824%28 Aug
inferno13–100.0212%27 Aug
dust22–13-0.0915%26 Aug
inferno13–11-0.0113%26 Aug
nuke11–13-0.0417%25 Aug
dust213–60.0226%25 Aug
inferno14–16-0.0213%25 Aug
mirage13–90.0224%25 Aug
mirage8–130.0326%22 Aug
inferno6–130.0622%22 Aug
ancient8–13-0.0814%21 Aug
mirage13–8-0.0316%21 Aug
inferno3–13-0.133%21 Aug
dust27–13-0.0426%21 Aug
inferno13–90.0421%20 Aug
cache12–120.0513%20 Aug
dust213–11-0.0315%20 Aug
anubis10–13-0.017%20 Aug
nuke10–13-0.0520%20 Aug
cache13–70.0119%20 Aug
inferno11–13-0.0114%20 Aug
train2–13-0.0426%19 Aug
dust211–13-0.0612%18 Aug
cache6–13-0.0125%18 Aug
dust213–100.0113%18 Aug
mirage5–13-0.0718%16 Aug
nuke11–13-0.0217%16 Aug
cache13–80.0222%13 Aug
anubis5–13-0.0111%13 Aug
mirage13–20.0111%12 Aug
dust25–13-0.0625%12 Aug
mirage13–16-0.0410%11 Aug
dust213–30.069%11 Aug
dust213–80.0316%11 Aug
nuke13–90.0119%11 Aug
inferno7–00.010%11 Aug
ancient13–70.1417%11 Aug
mirage6–13-0.0114%11 Aug
ancient6–13-0.0914%11 Aug
dust24–13-0.066%11 Aug
anubis11–130.0814%10 Aug
inferno7–13-0.0719%5 Aug
ancient13–9-0.0114%3 Aug
dust213–5-0.0412%3 Aug
anubis13–80.0021%3 Aug
anubis10–13-0.0214%2 Aug
cache13–10.0915%2 Aug
dust211–13-0.0621%2 Aug
nuke13–70.0219%1 Aug
inferno8–13-0.0120%1 Aug
dust213–30.0124%1 Aug
mirage10–130.0115%1 Aug
inferno8–0-0.0125%1 Aug
inferno13–90.1112%1 Aug
nuke7–130.0112%1 Aug
mirage13–70.0413%31 Jul
dust26–13-0.0119%31 Jul
anubis5–13-0.0315%31 Jul
ancient13–16-0.0416%31 Jul
nuke16–14-0.0220%30 Jul
nuke10–13-0.039%30 Jul
dust213–11-0.0320%30 Jul
anubis13–80.0612%30 Jul
inferno9–13-0.0717%30 Jul
dust215–15-0.0613%30 Jul
anubis4–13-0.075%30 Jul
nuke13–5-0.0531%30 Jul
inferno8–13-0.0120%30 Jul
nuke7–130.0924%29 Jul
anubis10–13-0.0322%29 Jul
anubis13–5-0.0513%29 Jul
nuke13–6-0.0312%28 Jul
cache15–15-0.0110%28 Jul
inferno13–5-0.0014%28 Jul
anubis16–120.0110%28 Jul
inferno16–140.0213%27 Jul
ancient15–150.0123%27 Jul
dust213–11-0.0216%27 Jul
anubis10–13-0.0418%26 Jul
ancient12–16-0.0418%26 Jul
dust213–6-0.0121%26 Jul
dust25–13-0.087%26 Jul
cache3–13-0.0320%24 Jul
ancient15–150.0713%24 Jul
ancient5–13-0.0719%22 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →