Dobin — CS2 Stats
76561198123299034[U:1:163033306]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 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 63% 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. 636ms 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 1.8/10 (Learning), 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 |
|---|---|---|---|---|---|
| D | 32 | 6–26 | 19% | -0.04 | |
| B | 20 | 9–11 | 45% | -0.02 | |
| D | 17 | 1–16 | 6% | -0.05 | |
| D | 15 | 1–14 | 7% | -0.05 | |
| S | 9 | 6–3 | 67% | 0.00 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 2 | 0–2 | 0% | -0.05 | |
| — | 1 | 0–1 | 0% | -0.09 | |
| — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (6% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
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 12.3178° — 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 10.861% — below the 15% 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 0.1798 — 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.
6% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.02 | 10% | 6 Jul → | ||
| 13–9 | -0.04 | 14% | 6 Jul → | ||
| 2–13 | -0.08 | 10% | 4 Jul → | ||
| 1–13 | -0.09 | 15% | 4 Jul → | ||
| 1–13 | -0.04 | 18% | 4 Jul → | ||
| 5–13 | -0.10 | 5% | 2 Jul → | ||
| 1–13 | -0.05 | 12% | 2 Jul → | ||
| 14–16 | -0.01 | 15% | 23 Jun → | ||
| 8–13 | -0.07 | 5% | 23 Jun → | ||
| 8–13 | 0.01 | 14% | 18 Jun → | ||
| 3–13 | -0.00 | 14% | 18 Jun → | ||
| 8–13 | -0.05 | 11% | 18 Jun → | ||
| 5–13 | 0.05 | 4% | 18 Jun → | ||
| 13–10 | 0.04 | 9% | 16 Jun → | ||
| 7–13 | -0.07 | 4% | 16 Jun → | ||
| 11–13 | -0.01 | 11% | 11 Jun → | ||
| 13–9 | 0.00 | 8% | 11 Jun → | ||
| 7–13 | -0.03 | 12% | 7 Jun → | ||
| 13–11 | -0.02 | 13% | 7 Jun → | ||
| 5–13 | -0.10 | 3% | 2 Jun → | ||
| 9–13 | -0.02 | 14% | 1 Jun → | ||
| 5–13 | -0.08 | 24% | 1 Jun → | ||
| 12–12 | -0.05 | 10% | 30 May → | ||
| 12–12 | -0.05 | 6% | 30 May → | ||
| 13–9 | -0.06 | 14% | 30 May → | ||
| 13–4 | 0.06 | 12% | 22 May → | ||
| 13–6 | -0.02 | 10% | 21 May → | ||
| 5–13 | -0.04 | 11% | 21 May → | ||
| 4–13 | -0.14 | 13% | 21 May → | ||
| 2–13 | -0.04 | 9% | 21 May → | ||
| 0–7 | -0.05 | 6% | 21 May → | ||
| 3–13 | 0.01 | 9% | 21 May → | ||
| 5–13 | -0.00 | 13% | 14 May → | ||
| 8–13 | -0.01 | 14% | 14 May → | ||
| 2–13 | -0.13 | 12% | 14 May → | ||
| 3–13 | -0.08 | 24% | 14 May → | ||
| 15–15 | -0.07 | 16% | 12 May → | ||
| 16–13 | -0.03 | 8% | 12 May → | ||
| 8–13 | -0.13 | 3% | 12 May → | ||
| 7–13 | 0.05 | 23% | 11 May → | ||
| 13–7 | -0.03 | 3% | 11 May → | ||
| 8–13 | -0.03 | 9% | 11 May → | ||
| 13–6 | -0.05 | 18% | 11 May → | ||
| 13–9 | -0.06 | 11% | 10 May → | ||
| 5–13 | 0.03 | 9% | 10 May → | ||
| 11–13 | -0.01 | 11% | 10 May → | ||
| 7–13 | -0.02 | 5% | 10 May → | ||
| 15–15 | -0.06 | 13% | 8 May → | ||
| 6–13 | -0.03 | 13% | 8 May → | ||
| 5–13 | -0.04 | 9% | 8 May → | ||
| 4–13 | -0.03 | 14% | 8 May → | ||
| 9–13 | -0.05 | 25% | 8 May → | ||
| 8–13 | -0.05 | 15% | 6 May → | ||
| 1–13 | -0.07 | 18% | 6 May → | ||
| 6–13 | -0.05 | 15% | 6 May → | ||
| 4–13 | -0.12 | 8% | 6 May → | ||
| 3–13 | -0.06 | 36% | 3 May → | ||
| 10–13 | 0.01 | 10% | 3 May → | ||
| 7–13 | -0.05 | 11% | 3 May → | ||
| 13–10 | 0.02 | 7% | 30 Apr → | ||
| 1–13 | -0.07 | 21% | 30 Apr → | ||
| 10–13 | -0.04 | 15% | 30 Apr → | ||
| 13–9 | 0.09 | 10% | 28 Apr → | ||
| 13–4 | 0.00 | 11% | 28 Apr → | ||
| 8–13 | -0.03 | 12% | 28 Apr → | ||
| 6–13 | 0.01 | 9% | 28 Apr → | ||
| 16–13 | -0.03 | 6% | 28 Apr → | ||
| 13–3 | -0.02 | 0% | 27 Apr → | ||
| 9–13 | -0.01 | 15% | 27 Apr → | ||
| 9–13 | -0.02 | 11% | 27 Apr → | ||
| 9–13 | -0.05 | 20% | 27 Apr → | ||
| 13–8 | -0.03 | 25% | 27 Apr → | ||
| 6–13 | -0.05 | 11% | 27 Apr → | ||
| 3–13 | -0.12 | 9% | 27 Apr → | ||
| 12–16 | 0.01 | 5% | 25 Apr → | ||
| 6–13 | -0.03 | 15% | 25 Apr → | ||
| 11–13 | -0.04 | 19% | 24 Apr → | ||
| 10–13 | -0.06 | 4% | 24 Apr → | ||
| 13–11 | -0.00 | 16% | 24 Apr → | ||
| 6–13 | -0.01 | 11% | 23 Apr → | ||
| 0–9 | -0.09 | 0% | 23 Apr → | ||
| 12–16 | -0.07 | 17% | 23 Apr → | ||
| 6–13 | -0.06 | 15% | 23 Apr → | ||
| 8–13 | -0.04 | 10% | 21 Apr → | ||
| 12–16 | -0.05 | 10% | 21 Apr → | ||
| 11–4 | -0.02 | 6% | 21 Apr → | ||
| 7–13 | -0.08 | 15% | 19 Apr → | ||
| 13–9 | -0.02 | 23% | 19 Apr → | ||
| 10–13 | -0.02 | 10% | 19 Apr → | ||
| 13–10 | 0.06 | 12% | 18 Apr → | ||
| 10–13 | -0.05 | 15% | 18 Apr → | ||
| 5–13 | -0.04 | 14% | 18 Apr → | ||
| 7–13 | -0.04 | 7% | 16 Apr → | ||
| 13–10 | -0.07 | 25% | 16 Apr → | ||
| 13–5 | 0.01 | 13% | 14 Apr → | ||
| 13–9 | 0.02 | 21% | 10 Apr → | ||
| 5–13 | -0.10 | 8% | 10 Apr → | ||
| 5–13 | -0.03 | 12% | 10 Apr → | ||
| 13–9 | -0.03 | 10% | 10 Apr → | ||
| 8–13 | -0.03 | 12% | 10 Apr → |
Match data via Leetify.