Donireba — CS2 Stats
76561198289986692[U:1:329720964]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp 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 78% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; 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 43% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% 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 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 54 | 24–30 | 44% | -0.02 | |
| S | 20 | 13–7 | 65% | -0.00 | |
| S | 9 | 6–3 | 67% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| D | 5 | 0–5 | 0% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.04 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 94 | 53% | 1.14 | 16.4 |
| Mirage | 79 | 49% | 1.01 | 15.5 |
| Inferno | 47 | 49% | 1.16 | 17.0 |
| Nuke | 28 | 64% | 1.00 | 15.6 |
| Ancient | 19 | 47% | 1.01 | 14.4 |
| Anubis | 13 | 38% | 1.12 | 14.8 |
| Train | 4 | 25% | 1.79 | 20.8 |
| Overpass | 3 | 33% | 1.02 | 16.7 |
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 Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 21.8841% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–9 | -0.12 | 25% | 5 Aug → | ||
| 7–13 | -0.03 | 14% | 21 Jul → | ||
| 4–13 | -0.02 | 13% | 10 Jul → | ||
| 8–8 | -0.00 | 18% | 9 Jul → | ||
| 6–9 | -0.19 | 14% | 8 Jul → | ||
| 9–6 | -0.10 | 28% | 8 Jul → | ||
| 5–9 | 0.00 | 23% | 7 Jul → | ||
| 1–9 | -0.11 | 23% | 6 Jul → | ||
| 13–6 | -0.01 | 25% | 6 Jul → | ||
| 7–13 | 0.01 | 15% | 5 Jul → | ||
| 9–4 | -0.03 | 32% | 5 Jul → | ||
| 4–13 | -0.03 | 11% | 5 Jul → | ||
| 9–5 | -0.11 | 7% | 4 Jul → | ||
| 0–9 | -0.27 | 9% | 4 Jul → | ||
| 7–9 | -0.00 | 11% | 4 Jul → | ||
| 13–4 | -0.01 | 25% | 4 Jul → | ||
| 13–10 | 0.03 | 22% | 4 Jul → | ||
| 9–4 | -0.00 | 25% | 3 Jul → | ||
| 4–9 | 0.02 | 17% | 3 Jul → | ||
| 9–6 | 0.07 | 19% | 3 Jul → | ||
| 6–13 | -0.01 | 25% | 3 Jul → | ||
| 7–9 | -0.03 | 20% | 3 Jul → | ||
| 6–13 | -0.01 | 22% | 3 Jul → | ||
| 13–16 | -0.02 | 20% | 3 Jul → | ||
| 9–5 | -0.09 | 17% | 3 Jul → | ||
| 6–13 | -0.06 | 29% | 3 Jul → | ||
| 13–9 | -0.04 | 14% | 3 Jul → | ||
| 13–9 | -0.05 | 25% | 2 Jul → | ||
| 13–10 | 0.07 | 28% | 2 Jul → | ||
| 7–13 | -0.04 | 22% | 2 Jul → | ||
| 9–7 | 0.06 | 22% | 2 Jul → | ||
| 15–15 | -0.06 | 20% | 2 Jul → | ||
| 13–16 | -0.02 | 25% | 1 Jul → | ||
| 8–8 | -0.08 | 22% | 1 Jul → | ||
| 13–11 | 0.03 | 22% | 1 Jul → | ||
| 9–13 | -0.03 | 20% | 30 Jun → | ||
| 4–0 | 0.21 | 44% | 30 Jun → | ||
| 13–3 | 0.02 | 26% | 30 Jun → | ||
| 15–15 | -0.05 | 21% | 30 Jun → | ||
| 12–12 | -0.06 | 5% | 29 Jun → | ||
| 8–13 | -0.05 | 7% | 29 Jun → | ||
| 13–7 | -0.02 | 15% | 29 Jun → | ||
| 3–13 | -0.07 | 6% | 29 Jun → | ||
| 13–9 | 0.02 | 15% | 28 Jun → | ||
| 13–6 | -0.01 | 9% | 28 Jun → | ||
| 13–11 | -0.00 | 6% | 28 Jun → | ||
| 13–9 | 0.01 | 17% | 28 Jun → | ||
| 16–14 | -0.01 | 18% | 28 Jun → | ||
| 13–3 | 0.00 | 22% | 28 Jun → | ||
| 13–8 | -0.09 | 14% | 28 Jun → | ||
| 2–13 | -0.03 | 31% | 26 Jun → | ||
| 8–13 | -0.03 | 15% | 26 Jun → | ||
| 3–9 | -0.15 | 18% | 14 Jun → | ||
| 13–11 | -0.01 | 27% | 14 Jun → | ||
| 9–7 | 0.00 | 27% | 12 Jun → | ||
| 9–4 | -0.03 | 44% | 12 Jun → | ||
| 2–9 | -0.22 | 14% | 9 Jun → | ||
| 8–8 | -0.01 | 4% | 16 May → | ||
| 8–8 | 0.01 | 32% | 16 May → | ||
| 13–11 | 0.01 | 25% | 16 May → | ||
| 11–13 | 0.01 | 18% | 16 May → | ||
| 1–13 | -0.01 | 28% | 15 May → | ||
| 7–13 | -0.03 | 20% | 14 May → | ||
| 6–9 | -0.02 | 32% | 13 May → | ||
| 11–13 | -0.07 | 19% | 12 May → | ||
| 9–7 | 0.04 | 23% | 12 May → | ||
| 13–8 | -0.05 | 8% | 11 May → | ||
| 9–7 | -0.05 | 12% | 9 May → | ||
| 9–2 | 0.10 | 22% | 9 May → | ||
| 12–12 | 0.14 | 13% | 9 May → | ||
| 13–8 | 0.05 | 15% | 9 May → | ||
| 13–1 | 0.06 | 36% | 9 May → | ||
| 13–11 | -0.05 | 12% | 9 May → | ||
| 9–13 | -0.02 | 28% | 9 May → | ||
| 9–6 | 0.07 | 26% | 9 May → | ||
| 6–9 | -0.06 | 5% | 8 May → | ||
| 9–3 | 0.01 | 26% | 8 May → | ||
| 13–11 | 0.01 | 27% | 8 May → | ||
| 16–12 | -0.00 | 10% | 8 May → | ||
| 3–9 | -0.01 | 8% | 7 May → | ||
| 9–2 | 0.06 | 24% | 7 May → | ||
| 13–11 | 0.07 | 25% | 5 May → | ||
| 13–5 | -0.05 | 29% | 28 Apr → | ||
| 8–8 | -0.02 | 26% | 28 Apr → | ||
| 8–8 | -0.01 | 26% | 28 Apr → | ||
| 6–9 | 0.00 | 28% | 28 Apr → | ||
| 9–5 | 0.02 | 22% | 28 Apr → | ||
| 4–9 | -0.12 | 14% | 28 Apr → | ||
| 0–9 | -0.28 | 18% | 28 Apr → | ||
| 9–5 | 0.13 | 25% | 28 Apr → | ||
| 13–5 | -0.01 | 26% | 26 Apr → | ||
| 5–9 | -0.01 | 25% | 24 Apr → | ||
| 9–5 | 0.17 | 21% | 24 Apr → | ||
| 1–13 | -0.07 | 8% | 24 Apr → | ||
| 8–8 | 0.16 | 35% | 24 Apr → | ||
| 7–13 | -0.00 | 33% | 23 Apr → | ||
| 9–6 | 0.04 | 15% | 21 Apr → | ||
| 13–5 | -0.03 | 30% | 19 Apr → | ||
| 9–6 | 0.02 | 26% | 19 Apr → | ||
| 6–9 | 0.01 | 18% | 19 Apr → |
Match data via Leetify.