schmachten — CS2 Stats
76561198044972853[U:1:84707125]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 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 NiKo 73% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 63% 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
Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
 mirage | C | 23 | 9–14 | 39% | -0.01 |
 nuke | C | 16 | 7–9 | 44% | -0.01 |
 ancient | A | 15 | 9–6 | 60% | 0.01 |
 inferno | S | 13 | 11–2 | 85% | 0.02 |
 dust2 | D | 12 | 4–8 | 33% | -0.01 |
 anubis | C | 8 | 3–5 | 38% | -0.02 |
 vertigo | S | 6 | 4–2 | 67% | 0.03 |
 overpass | — | 2 | 1–1 | 50% | -0.02 |
 train | — | 2 | 1–1 | 50% | 0.02 |
| office | — | 2 | 1–1 | 50% | 0.03 |
| agency | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 0% | 0.71 | 11.5 |
| Vertigo | 2 | 100% | 1.48 | 17.5 |
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 15.1977° — above the 12° mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3822 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 5–13 | -0.05 | 17% | 13 May → | |
| nuke | 9–13 | -0.03 | 14% | 8 May → | |
| mirage | 13–16 | 0.01 | 18% | 8 May → | |
| overpass | 8–13 | -0.06 | 16% | 18 Apr → | |
| mirage | 15–15 | 0.06 | 16% | 18 Apr → | |
| nuke | 14–16 | 0.04 | 16% | 12 Apr → | |
| mirage | 10–13 | -0.02 | 15% | 11 Apr → | |
| ancient | 9–13 | -0.05 | 10% | 11 Apr → | |
| nuke | 1–13 | -0.02 | 21% | 14 Feb → | |
| anubis | 13–5 | 0.01 | 25% | 14 Feb → | |
| mirage | 8–13 | 0.01 | 13% | 14 Feb → | |
| inferno | 10–13 | -0.04 | 16% | 28 Jan → | |
| mirage | 13–16 | 0.05 | 20% | 28 Jan → | |
| ancient | 16–12 | 0.01 | 20% | 24 Jan → | |
| mirage | 4–13 | -0.02 | 12% | 3 Aug → | |
| nuke | 13–6 | 0.05 | 12% | 3 Aug → | |
| mirage | 8–13 | -0.02 | 11% | 3 Aug → | |
| dust2 | 11–13 | 0.02 | 24% | 3 Aug → | |
| overpass | 13–10 | 0.03 | 12% | 3 Aug → | |
| mirage | 13–6 | 0.03 | 24% | 2 Aug → | |
| dust2 | 13–8 | 0.03 | 13% | 19 Jul → | |
| nuke | 14–16 | -0.04 | 10% | 18 Jul → | |
| anubis | 9–13 | -0.01 | 13% | 14 Jul → | |
| nuke | 7–13 | -0.05 | 12% | 14 Jul → | |
| mirage | 7–13 | -0.04 | 19% | 12 Jul → | |
| ancient | 16–12 | 0.02 | 17% | 12 Jul → | |
| inferno | 16–14 | -0.03 | 13% | 11 Jul → | |
| anubis | 10–13 | -0.06 | 11% | 11 Jul → | |
| nuke | 13–6 | -0.05 | 8% | 11 Jul → | |
| mirage | 5–13 | -0.05 | 8% | 4 Jul → | |
| inferno | 13–9 | 0.01 | 8% | 4 Jul → | |
| mirage | 13–9 | 0.00 | 11% | 2 Jul → | |
| mirage | 13–11 | -0.02 | 14% | 2 Jul → | |
| dust2 | 8–13 | 0.01 | 21% | 2 Jul → | |
| inferno | 9–7 | -0.01 | 12% | 28 Jun → | |
| ancient | 13–11 | -0.01 | 13% | 15 Jun → | |
| agency | 13–6 | 0.07 | 21% | 15 Jun → | |
| dust2 | 9–13 | -0.03 | 15% | 14 Jun → | |
| inferno | 13–2 | 0.06 | 9% | 14 Jun → | |
| nuke | 13–11 | 0.03 | 6% | 12 Jun → | |
| dust2 | 13–8 | -0.02 | 2% | 17 May → | |
| dust2 | 8–13 | -0.01 | 12% | 17 May → | |
| dust2 | 16–13 | -0.01 | 18% | 16 May → | |
| dust2 | 13–16 | -0.00 | 14% | 10 May → | |
| mirage | 3–13 | -0.04 | 7% | 3 May → | |
| ancient | 13–9 | 0.04 | 12% | 30 Apr → | |
| mirage | 13–10 | -0.01 | 12% | 28 Apr → | |
| ancient | 16–12 | 0.08 | 14% | 13 Apr → | |
| inferno | 13–5 | 0.02 | 10% | 13 Apr → | |
| mirage | 13–11 | 0.02 | 16% | 12 Apr → | |
| anubis | 13–16 | -0.04 | 12% | 6 Apr → | |
| ancient | 13–8 | 0.03 | 15% | 6 Apr → | |
| ancient | 8–13 | 0.03 | 11% | 28 Mar → | |
| train | 13–6 | 0.02 | 13% | 28 Mar → | |
| inferno | 13–8 | 0.02 | 8% | 28 Mar → | |
| ancient | 5–13 | -0.08 | 13% | 24 Mar → | |
| ancient | 13–10 | 0.03 | 13% | 24 Mar → | |
| nuke | 10–13 | -0.00 | 14% | 23 Mar → | |
| anubis | 13–6 | 0.05 | 18% | 23 Mar → | |
| inferno | 11–13 | 0.06 | 21% | 20 Mar → | |
| anubis | 13–7 | 0.06 | 15% | 20 Mar → | |
| ancient | 11–13 | 0.01 | 14% | 19 Mar → | |
| inferno | 13–10 | 0.09 | 29% | 19 Mar → | |
| inferno | 13–6 | 0.04 | 18% | 12 Mar → | |
| dust2 | 8–13 | 0.02 | 19% | 6 Mar → | |
| mirage | 13–6 | -0.02 | 6% | 1 Mar → | |
| train | 8–13 | 0.01 | 11% | 1 Mar → | |
| ancient | 13–8 | -0.00 | 12% | 1 Mar → | |
| dust2 | 11–13 | -0.05 | 22% | 17 Feb → | |
| mirage | 13–5 | -0.01 | 13% | 17 Feb → | |
| inferno | 13–6 | 0.02 | 13% | 12 Feb → | |
| nuke | 8–13 | -0.04 | 16% | 6 Feb → | |
| mirage | 11–13 | 0.02 | 12% | 5 Feb → | |
| anubis | 13–16 | -0.06 | 15% | 30 Jan → | |
| nuke | 9–13 | -0.05 | 16% | 26 Jan → | |
| nuke | 13–7 | -0.01 | 8% | 26 Jan → | |
| ancient | 6–13 | -0.03 | 23% | 26 Jan → | |
| dust2 | 3–11 | -0.04 | 27% | 26 Jan → | |
| nuke | 13–11 | -0.01 | 11% | 21 Jan → | |
| vertigo | 16–13 | 0.05 | 22% | 18 Jan → | |
| nuke | 13–11 | 0.06 | 16% | 12 Jan → | |
| mirage | 6–3 | -0.00 | 20% | 12 Jan → | |
| office | 1–13 | -0.03 | 50% | 24 Aug → | |
| office | 2–0 | 0.09 | 25% | 24 Aug → | |
| anubis | 6–13 | -0.08 | 27% | 23 Aug → | |
| vertigo | 13–11 | 0.04 | 21% | 23 Aug → | |
| ancient | 13–9 | 0.02 | 12% | 23 Aug → | |
| vertigo | 13–4 | 0.08 | 23% | 22 Aug → | |
| ancient | 0–10 | -0.03 | 21% | 23 Jul → | |
| inferno | 13–8 | 0.05 | 13% | 15 Jul → | |
| nuke | 11–13 | -0.06 | 23% | 15 Jul → | |
| vertigo | 9–13 | 0.00 | 13% | 15 Jul → | |
| vertigo | 13–7 | -0.01 | 11% | 10 Jul → | |
| vertigo | 11–13 | -0.01 | 9% | 10 Jul → | |
| nuke | 13–8 | -0.02 | 8% | 10 Jul → | |
| inferno | 13–7 | 0.00 | 15% | 11 Jun → | |
| mirage | 13–5 | -0.01 | 16% | 24 May → | |
| mirage | 11–13 | -0.03 | 24% | 24 May → | |
| dust2 | 13–8 | -0.03 | 15% | 24 May → | |
| mirage | 10–13 | -0.04 | 21% | 23 May → |
Match data via Leetify.