apartment — CS2 Stats
76561199242184445[U:1:1281918717]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Limited utility dependenceReliable in 1v1s
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 74% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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. 757ms 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 3.4/10 (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 |
|---|---|---|---|---|---|
| C | 20 | 7–13 | 35% | 0.01 | |
| D | 19 | 6–13 | 32% | -0.01 | |
| B | 18 | 9–9 | 50% | -0.00 | |
| A | 9 | 5–4 | 56% | -0.00 | |
| D | 8 | 1–7 | 13% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.02 | |
| D | 6 | 2–4 | 33% | 0.00 | |
| A | 5 | 3–2 | 60% | 0.00 | |
| — | 4 | 1–3 | 25% | -0.06 | |
| — | 3 | 3–0 | 100% | -0.01 | |
| stronghold | — | 1 | 1–0 | 100% | 0.05 |
| warden | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1 | 0% | 0.93 | 27.0 |
| Inferno | 1 | 0% | 0.63 | 12.0 |
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 12.5778° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.2919% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 757.3401ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.03 | 12% | 27 Aug → | ||
| 3–13 | -0.02 | 7% | 7 Aug → | ||
| 4–13 | -0.05 | 10% | 7 Aug → | ||
| 11–13 | -0.02 | 8% | 7 Aug → | ||
| 13–1 | 0.03 | 7% | 6 Aug → | ||
| 12–12 | -0.01 | 14% | 1 Aug → | ||
| 12–12 | -0.06 | 8% | 1 Aug → | ||
| 3–13 | -0.01 | 19% | 1 Aug → | ||
| 7–13 | -0.01 | 8% | 27 Jul → | ||
| 11–13 | 0.01 | 23% | 27 Jul → | ||
| 8–13 | -0.01 | 10% | 26 Jul → | ||
| 13–11 | 0.04 | 9% | 26 Jul → | ||
| 13–6 | 0.08 | 20% | 26 Jul → | ||
| 13–8 | -0.01 | 16% | 26 Jul → | ||
| 13–4 | -0.02 | 8% | 22 Jul → | ||
| 4–13 | -0.01 | 13% | 21 Jul → | ||
| 8–13 | 0.08 | 7% | 21 Jul → | ||
| 13–11 | -0.06 | 17% | 10 Jul → | ||
| 14–16 | 0.01 | 7% | 9 Jul → | ||
| 10–13 | -0.04 | 11% | 9 Jul → | ||
| 13–7 | 0.00 | 5% | 9 Jul → | ||
| 6–13 | 0.02 | 11% | 8 Jul → | ||
| 13–0 | 0.11 | 10% | 8 Jul → | ||
| 4–13 | -0.06 | 10% | 8 Jul → | ||
| 10–13 | -0.05 | 10% | 8 Jul → | ||
| 5–13 | 0.02 | 9% | 8 Jul → | ||
| 5–1 | -0.05 | 9% | 8 Jul → | ||
| 11–13 | 0.02 | 10% | 8 Jul → | ||
| 11–2 | 0.08 | 18% | 6 Jul → | ||
| 11–13 | 0.02 | 11% | 6 Jul → | ||
| 9–13 | -0.06 | 21% | 6 Jul → | ||
| 13–10 | -0.05 | 9% | 6 Jul → | ||
| 13–6 | 0.01 | 11% | 3 Jul → | ||
| 1–8 | -0.09 | 50% | 3 Jul → | ||
| 7–13 | -0.01 | 13% | 3 Jul → | ||
| 13–5 | -0.05 | 9% | 3 Jul → | ||
| 13–3 | 0.12 | 6% | 26 Jun → | ||
| 13–8 | 0.02 | 19% | 16 Jun → | ||
| 2–13 | -0.01 | 24% | 16 Jun → | ||
| 4–13 | -0.13 | 9% | 14 Jun → | ||
| 3–13 | -0.13 | 6% | 14 Jun → | ||
| 13–3 | 0.05 | 16% | 14 Jun → | ||
| 13–8 | 0.08 | 11% | 14 Jun → | ||
| 10–13 | -0.02 | 17% | 14 Jun → | ||
| 13–5 | 0.14 | 13% | 9 Jun → | ||
| 13–6 | -0.02 | 14% | 9 Jun → | ||
| 2–13 | -0.07 | 9% | 5 Jun → | ||
| 10–13 | -0.04 | 9% | 30 May → | ||
| 9–13 | -0.06 | 10% | 30 May → | ||
| 13–8 | 0.00 | 8% | 30 May → | ||
| 13–2 | 0.07 | 21% | 30 May → | ||
| 13–7 | -0.03 | 5% | 25 May → | ||
| 16–14 | 0.01 | 10% | 18 May → | ||
| 4–13 | -0.06 | 12% | 17 May → | ||
| 12–12 | -0.04 | 16% | 17 May → | ||
| 10–13 | 0.07 | 23% | 16 May → | ||
| 4–13 | 0.02 | 24% | 16 May → | ||
| 13–7 | 0.03 | 19% | 16 May → | ||
| 13–11 | 0.07 | 16% | 16 May → | ||
| 13–11 | -0.04 | 7% | 13 May → | ||
| 6–13 | 0.06 | 7% | 13 May → | ||
| 13–10 | -0.02 | 9% | 13 May → | ||
| 11–13 | -0.01 | 10% | 12 May → | ||
| 1–13 | -0.04 | 21% | 12 May → | ||
| 2–8 | -0.02 | 13% | 12 May → | ||
| 6–13 | 0.01 | 10% | 12 May → | ||
| 6–13 | -0.05 | 6% | 12 May → | ||
| 4–13 | 0.03 | 21% | 12 May → | ||
| 13–9 | -0.03 | 13% | 12 May → | ||
| stronghold | 13–4 | 0.05 | 8% | 11 May → | |
| 13–8 | 0.01 | 8% | 11 May → | ||
| 12–12 | 0.03 | 12% | 10 May → | ||
| 7–13 | -0.06 | 17% | 10 May → | ||
| 13–5 | -0.00 | 6% | 3 May → | ||
| 13–5 | 0.10 | 8% | 3 May → | ||
| 13–8 | -0.02 | 10% | 3 May → | ||
| 1–13 | -0.03 | 10% | 29 Apr → | ||
| 3–13 | -0.02 | 13% | 29 Apr → | ||
| 10–13 | -0.10 | 27% | 29 Apr → | ||
| 8–13 | 0.02 | 12% | 29 Apr → | ||
| 13–2 | -0.04 | 5% | 29 Apr → | ||
| 10–13 | -0.03 | 9% | 27 Apr → | ||
| 12–12 | 0.01 | 13% | 27 Apr → | ||
| warden | 7–13 | -0.02 | 5% | 27 Apr → | |
| 12–12 | 0.03 | 12% | 27 Apr → | ||
| 6–13 | -0.05 | 15% | 27 Apr → | ||
| 4–13 | -0.06 | 17% | 27 Apr → | ||
| 13–6 | 0.03 | 10% | 27 Apr → | ||
| 11–13 | 0.01 | 22% | 27 Apr → | ||
| 6–13 | -0.05 | 16% | 27 Apr → | ||
| 13–11 | 0.03 | 13% | 20 Apr → | ||
| 12–12 | -0.05 | 13% | 20 Apr → | ||
| 13–10 | 0.00 | 18% | 20 Apr → | ||
| 8–13 | -0.06 | 24% | 19 Apr → | ||
| 13–10 | 0.00 | 10% | 19 Apr → | ||
| 10–13 | -0.00 | 18% | 19 Apr → | ||
| 8–13 | -0.00 | 18% | 18 Apr → | ||
| 8–13 | 0.02 | 23% | 18 Apr → | ||
| 13–8 | 0.06 | 13% | 17 Apr → | ||
| 13–11 | 0.01 | 6% | 17 Apr → |
Match data via Leetify.