LeLohman — CS2 Stats

76561198062366140[U:1:102100412]✓ No bans

1,747Tracked matches70%Win rate2020Tracked since
CSDB Rating5.6 Solid
FaceitLevel 9 · 1,924 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGLeLohmanFACEITLevel 9 · 1,924 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim55
Positioning56
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY4852Last 10048%Win rateWLWWWWWLLW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim5.5
Aggression7.1
Utility5.6
Positioning5.6
Opening Duels3.1
Clutch3.6

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 89% playstyle similarity

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

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

T-side openings. Opening success drops from 54% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.5
Positioning5.6
Utility5.6
Mechanics6.4
Opening Duels3.1
Win Impact10.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time633ms+10ms
first ⅓ avg 623ms → last ⅓ avg 633ms
Headshot accuracy17.9%+0.1%
first ⅓ avg 17.8% → last ⅓ avg 17.9%

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

0.17Best rating — nuke 13–2
132Biggest win — train
5Longest win streak
95In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 62% over 29ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA29181162%0.02
infernoB178947%0.03
overpassC167944%0.01
trainC156940%0.02
ancientD92722%0.01
dust2D62433%-0.02
anubis32167%0.00
vertigo21150%-0.01
mirage220100%0.03
cache1010%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,675Matches
51%Win rate
1.19Avg K/D
90.0ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke27257%1.3218.1
Inferno16051%1.1717.8
Ancient15652%1.3318.6
Train11344%1.2518.1
Vertigo9257%1.2817.4
Overpass8251%1.2218.0
Dust26844%1.0716.2
Anubis4743%1.1116.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

18.4%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.3%Spray accuracy
78.7%Counter-strafing
12.9°Preaim
637msReaction time
31.1%T opening success
53.5%CT opening success
0.53Enemies flashed / flash
3.8%Flash assists
8.50HE damage / grenade
8.70Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.9392° — above the 12° mark we flag

    Aim Training
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–30.0916%26 Aug
cache6–130.0230%9 Jun
nuke16–140.0623%22 Feb
nuke13–110.0212%11 Feb
nuke13–7-0.0121%7 Feb
anubis13–90.0615%17 Jan
inferno13–110.1026%17 Jan
anubis5–13-0.1026%16 Jan
ancient9–13-0.0122%16 Jan
nuke13–70.0127%15 Jan
nuke13–50.0613%15 Jan
anubis13–100.0515%15 Jan
train13–2-0.0516%15 Jan
dust213–60.0520%15 Jan
nuke6–13-0.0133%14 Jan
inferno13–40.0815%13 Jan
dust26–130.0112%13 Jan
inferno13–80.0122%4 Jan
dust213–90.0220%4 Jan
inferno13–50.0513%4 Jan
nuke16–140.0422%4 Jan
train12–16-0.027%3 Jan
overpass13–30.1420%3 Jan
nuke13–110.0315%3 Jan
dust23–13-0.1013%2 Jan
train9–13-0.0121%2 Jan
overpass16–140.0110%2 Jan
mirage13–50.0522%30 Dec
dust27–13-0.0316%29 Dec
nuke13–90.0815%28 Dec
ancient13–80.0717%17 Dec
overpass9–130.0312%17 Dec
ancient13–110.028%2 Dec
train8–130.0316%2 Dec
inferno7–130.0425%2 Dec
train13–100.0514%1 Dec
ancient5–13-0.0713%1 Dec
nuke9–130.0222%1 Dec
inferno7–130.0116%30 Nov
overpass5–13-0.0715%28 Nov
inferno7–130.068%26 Nov
inferno9–130.0127%26 Nov
nuke11–130.0422%13 Nov
inferno3–13-0.0617%12 Nov
train8–13-0.0111%12 Nov
ancient13–160.0718%11 Nov
mirage13–50.0124%11 Nov
nuke13–30.0915%11 Nov
nuke13–70.027%10 Nov
inferno13–30.1411%10 Nov
inferno13–70.0715%10 Nov
dust26–13-0.0514%20 Oct
inferno7–130.0012%14 Oct
nuke13–50.0022%13 Oct
overpass8–130.0314%12 Oct
nuke13–11-0.0212%8 Oct
nuke13–80.0919%7 Oct
nuke10–13-0.0213%7 Oct
ancient7–130.026%6 Oct
train13–60.0519%6 Oct
overpass3–13-0.0715%6 Oct
overpass13–10-0.018%5 Oct
inferno6–13-0.0610%5 Oct
inferno8–130.018%5 Oct
overpass13–60.0717%5 Oct
nuke3–13-0.047%5 Oct
overpass7–13-0.052%5 Oct
ancient8–130.0414%5 Oct
inferno13–5-0.0412%4 Oct
train13–50.0623%4 Oct
ancient4–13-0.019%4 Oct
nuke19–16-0.0022%4 Oct
nuke13–9-0.0215%3 Oct
overpass7–130.0829%2 Oct
train10–130.0414%2 Oct
overpass13–8-0.024%2 Oct
nuke6–13-0.0315%1 Oct
overpass11–13-0.0110%29 Sept
nuke11–130.0617%18 Sept
ancient11–13-0.0018%17 Sept
overpass10–130.029%16 Sept
nuke4–130.0619%16 Sept
train7–130.0120%15 Sept
overpass13–90.0016%15 Sept
train13–100.0516%15 Sept
inferno11–130.0314%15 Sept
overpass16–130.0214%12 Sept
nuke6–130.0015%9 Sept
vertigo5–9-0.1017%29 Aug
train5–13-0.0435%27 Aug
nuke13–80.0118%12 Aug
train13–90.0319%10 Aug
train9–130.0435%7 Aug
nuke13–100.0116%7 Aug
inferno13–110.0621%7 Aug
nuke7–13-0.0620%7 Aug
train4–130.0337%6 Aug
nuke10–13-0.0019%6 Aug
overpass9–130.016%6 Aug
nuke13–20.1721%6 Aug

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 →