LeLohman — CS2 Stats
76561198062366140[U:1:102100412]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.00 avg rating
Player DNA
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

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
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
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
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| A | 29 | 18–11 | 62% | 0.02 | |
| B | 17 | 8–9 | 47% | 0.03 | |
| C | 16 | 7–9 | 44% | 0.01 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| D | 9 | 2–7 | 22% | 0.01 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| — | 3 | 2–1 | 67% | 0.00 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 2 | 2–0 | 100% | 0.03 | |
| — | 1 | 0–1 | 0% | 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
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 272 | 57% | 1.32 | 18.1 |
| Inferno | 160 | 51% | 1.17 | 17.8 |
| Ancient | 156 | 52% | 1.33 | 18.6 |
| Train | 113 | 44% | 1.25 | 18.1 |
| Vertigo | 92 | 57% | 1.28 | 17.4 |
| Overpass | 82 | 51% | 1.22 | 18.0 |
| Dust2 | 68 | 44% | 1.07 | 16.2 |
| Anubis | 47 | 43% | 1.11 | 16.9 |
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.
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.
- Advanced MechanicsAim Training →
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
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.09 | 16% | 26 Aug → | ||
| 6–13 | 0.02 | 30% | 9 Jun → | ||
| 16–14 | 0.06 | 23% | 22 Feb → | ||
| 13–11 | 0.02 | 12% | 11 Feb → | ||
| 13–7 | -0.01 | 21% | 7 Feb → | ||
| 13–9 | 0.06 | 15% | 17 Jan → | ||
| 13–11 | 0.10 | 26% | 17 Jan → | ||
| 5–13 | -0.10 | 26% | 16 Jan → | ||
| 9–13 | -0.01 | 22% | 16 Jan → | ||
| 13–7 | 0.01 | 27% | 15 Jan → | ||
| 13–5 | 0.06 | 13% | 15 Jan → | ||
| 13–10 | 0.05 | 15% | 15 Jan → | ||
| 13–2 | -0.05 | 16% | 15 Jan → | ||
| 13–6 | 0.05 | 20% | 15 Jan → | ||
| 6–13 | -0.01 | 33% | 14 Jan → | ||
| 13–4 | 0.08 | 15% | 13 Jan → | ||
| 6–13 | 0.01 | 12% | 13 Jan → | ||
| 13–8 | 0.01 | 22% | 4 Jan → | ||
| 13–9 | 0.02 | 20% | 4 Jan → | ||
| 13–5 | 0.05 | 13% | 4 Jan → | ||
| 16–14 | 0.04 | 22% | 4 Jan → | ||
| 12–16 | -0.02 | 7% | 3 Jan → | ||
| 13–3 | 0.14 | 20% | 3 Jan → | ||
| 13–11 | 0.03 | 15% | 3 Jan → | ||
| 3–13 | -0.10 | 13% | 2 Jan → | ||
| 9–13 | -0.01 | 21% | 2 Jan → | ||
| 16–14 | 0.01 | 10% | 2 Jan → | ||
| 13–5 | 0.05 | 22% | 30 Dec → | ||
| 7–13 | -0.03 | 16% | 29 Dec → | ||
| 13–9 | 0.08 | 15% | 28 Dec → | ||
| 13–8 | 0.07 | 17% | 17 Dec → | ||
| 9–13 | 0.03 | 12% | 17 Dec → | ||
| 13–11 | 0.02 | 8% | 2 Dec → | ||
| 8–13 | 0.03 | 16% | 2 Dec → | ||
| 7–13 | 0.04 | 25% | 2 Dec → | ||
| 13–10 | 0.05 | 14% | 1 Dec → | ||
| 5–13 | -0.07 | 13% | 1 Dec → | ||
| 9–13 | 0.02 | 22% | 1 Dec → | ||
| 7–13 | 0.01 | 16% | 30 Nov → | ||
| 5–13 | -0.07 | 15% | 28 Nov → | ||
| 7–13 | 0.06 | 8% | 26 Nov → | ||
| 9–13 | 0.01 | 27% | 26 Nov → | ||
| 11–13 | 0.04 | 22% | 13 Nov → | ||
| 3–13 | -0.06 | 17% | 12 Nov → | ||
| 8–13 | -0.01 | 11% | 12 Nov → | ||
| 13–16 | 0.07 | 18% | 11 Nov → | ||
| 13–5 | 0.01 | 24% | 11 Nov → | ||
| 13–3 | 0.09 | 15% | 11 Nov → | ||
| 13–7 | 0.02 | 7% | 10 Nov → | ||
| 13–3 | 0.14 | 11% | 10 Nov → | ||
| 13–7 | 0.07 | 15% | 10 Nov → | ||
| 6–13 | -0.05 | 14% | 20 Oct → | ||
| 7–13 | 0.00 | 12% | 14 Oct → | ||
| 13–5 | 0.00 | 22% | 13 Oct → | ||
| 8–13 | 0.03 | 14% | 12 Oct → | ||
| 13–11 | -0.02 | 12% | 8 Oct → | ||
| 13–8 | 0.09 | 19% | 7 Oct → | ||
| 10–13 | -0.02 | 13% | 7 Oct → | ||
| 7–13 | 0.02 | 6% | 6 Oct → | ||
| 13–6 | 0.05 | 19% | 6 Oct → | ||
| 3–13 | -0.07 | 15% | 6 Oct → | ||
| 13–10 | -0.01 | 8% | 5 Oct → | ||
| 6–13 | -0.06 | 10% | 5 Oct → | ||
| 8–13 | 0.01 | 8% | 5 Oct → | ||
| 13–6 | 0.07 | 17% | 5 Oct → | ||
| 3–13 | -0.04 | 7% | 5 Oct → | ||
| 7–13 | -0.05 | 2% | 5 Oct → | ||
| 8–13 | 0.04 | 14% | 5 Oct → | ||
| 13–5 | -0.04 | 12% | 4 Oct → | ||
| 13–5 | 0.06 | 23% | 4 Oct → | ||
| 4–13 | -0.01 | 9% | 4 Oct → | ||
| 19–16 | -0.00 | 22% | 4 Oct → | ||
| 13–9 | -0.02 | 15% | 3 Oct → | ||
| 7–13 | 0.08 | 29% | 2 Oct → | ||
| 10–13 | 0.04 | 14% | 2 Oct → | ||
| 13–8 | -0.02 | 4% | 2 Oct → | ||
| 6–13 | -0.03 | 15% | 1 Oct → | ||
| 11–13 | -0.01 | 10% | 29 Sept → | ||
| 11–13 | 0.06 | 17% | 18 Sept → | ||
| 11–13 | -0.00 | 18% | 17 Sept → | ||
| 10–13 | 0.02 | 9% | 16 Sept → | ||
| 4–13 | 0.06 | 19% | 16 Sept → | ||
| 7–13 | 0.01 | 20% | 15 Sept → | ||
| 13–9 | 0.00 | 16% | 15 Sept → | ||
| 13–10 | 0.05 | 16% | 15 Sept → | ||
| 11–13 | 0.03 | 14% | 15 Sept → | ||
| 16–13 | 0.02 | 14% | 12 Sept → | ||
| 6–13 | 0.00 | 15% | 9 Sept → | ||
| 5–9 | -0.10 | 17% | 29 Aug → | ||
| 5–13 | -0.04 | 35% | 27 Aug → | ||
| 13–8 | 0.01 | 18% | 12 Aug → | ||
| 13–9 | 0.03 | 19% | 10 Aug → | ||
| 9–13 | 0.04 | 35% | 7 Aug → | ||
| 13–10 | 0.01 | 16% | 7 Aug → | ||
| 13–11 | 0.06 | 21% | 7 Aug → | ||
| 7–13 | -0.06 | 20% | 7 Aug → | ||
| 4–13 | 0.03 | 37% | 6 Aug → | ||
| 10–13 | -0.00 | 19% | 6 Aug → | ||
| 9–13 | 0.01 | 6% | 6 Aug → | ||
| 13–2 | 0.17 | 21% | 6 Aug → |
Match data via Leetify.