Donny The Dealer — CS2 Stats
76561198133949446[U:1:173683718]✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 29.0% | 42.1% | 42.5% | 13.5% short |
| Shot accuracy | 13.5% | 12.1% | 10.9% | above |
| Kill/death ratio | 0.71 | 0.99 | 0.99 | 0.28 short |
| Match win rate | 29.5% | 43.9% | 44.2% | 14.6% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp 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 b1t 81% 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. 669ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 66% 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 4.0/10 (Developing), 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 | 27 | 11–16 | 41% | -0.01 | |
| D | 19 | 6–13 | 32% | -0.03 | |
| C | 16 | 7–9 | 44% | 0.01 | |
| C | 13 | 5–8 | 38% | -0.03 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| B | 6 | 3–3 | 50% | -0.04 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| office | — | 3 | 0–3 | 0% | -0.08 |
| — | 1 | 0–1 | 0% | -0.12 | |
| — | 1 | 0–1 | 0% | -0.07 | |
| — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno 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.
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.0888 — below the 4 mark we flag
- 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 35.9702% — 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.
32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | -0.03 | 15% | 26 Aug → | ||
| 10–13 | 0.02 | 24% | 23 Aug → | ||
| 13–10 | -0.05 | 8% | 23 Aug → | ||
| 10–13 | -0.03 | 12% | 23 Aug → | ||
| 9–13 | 0.02 | 18% | 23 Aug → | ||
| 13–7 | -0.04 | 23% | 22 Aug → | ||
| 7–13 | -0.02 | 20% | 22 Aug → | ||
| 5–13 | 0.03 | 23% | 22 Aug → | ||
| 3–13 | -0.03 | 11% | 21 Aug → | ||
| 12–16 | 0.04 | 21% | 21 Aug → | ||
| 13–11 | 0.05 | 20% | 20 Aug → | ||
| 13–7 | 0.01 | 18% | 19 Aug → | ||
| 13–4 | 0.04 | 12% | 19 Aug → | ||
| 15–15 | -0.01 | 19% | 18 Aug → | ||
| 13–10 | -0.05 | 19% | 16 Aug → | ||
| 13–6 | 0.06 | 19% | 16 Aug → | ||
| 9–13 | 0.01 | 14% | 16 Aug → | ||
| 9–13 | 0.05 | 12% | 16 Aug → | ||
| 12–16 | -0.10 | 3% | 15 Aug → | ||
| 13–2 | 0.05 | 9% | 15 Aug → | ||
| 8–13 | -0.05 | 19% | 15 Aug → | ||
| 13–10 | 0.02 | 19% | 15 Aug → | ||
| 3–9 | -0.12 | 14% | 15 Aug → | ||
| 13–4 | 0.13 | 17% | 14 Aug → | ||
| 6–13 | 0.01 | 11% | 13 Aug → | ||
| 2–13 | -0.05 | 11% | 13 Aug → | ||
| 13–5 | 0.07 | 17% | 12 Aug → | ||
| 13–11 | -0.03 | 16% | 12 Aug → | ||
| 13–8 | -0.02 | 6% | 12 Aug → | ||
| 13–10 | 0.03 | 10% | 12 Aug → | ||
| 16–14 | -0.00 | 14% | 12 Aug → | ||
| 13–9 | -0.02 | 10% | 11 Aug → | ||
| 13–16 | 0.00 | 18% | 9 Aug → | ||
| 10–13 | -0.03 | 15% | 9 Aug → | ||
| office | 9–13 | -0.12 | 10% | 9 Aug → | |
| office | 3–13 | -0.05 | 31% | 9 Aug → | |
| 13–2 | 0.00 | 21% | 8 Aug → | ||
| 3–13 | -0.02 | 27% | 7 Aug → | ||
| 7–13 | -0.08 | 17% | 7 Aug → | ||
| 16–13 | -0.02 | 13% | 7 Aug → | ||
| 5–13 | -0.02 | 17% | 7 Aug → | ||
| 13–9 | 0.00 | 14% | 6 Aug → | ||
| 13–9 | -0.03 | 17% | 6 Aug → | ||
| 13–8 | 0.03 | 14% | 6 Aug → | ||
| 8–13 | -0.05 | 9% | 6 Aug → | ||
| 13–10 | 0.05 | 6% | 6 Aug → | ||
| 10–13 | 0.02 | 16% | 6 Aug → | ||
| 5–13 | -0.02 | 10% | 5 Aug → | ||
| 16–13 | 0.02 | 10% | 5 Aug → | ||
| 6–13 | -0.03 | 12% | 5 Aug → | ||
| 7–13 | 0.05 | 17% | 5 Aug → | ||
| 13–6 | 0.07 | 17% | 4 Aug → | ||
| 13–7 | 0.02 | 15% | 4 Aug → | ||
| 11–13 | -0.04 | 11% | 3 Aug → | ||
| 13–7 | 0.05 | 17% | 3 Aug → | ||
| 13–7 | 0.05 | 9% | 3 Aug → | ||
| 7–13 | 0.03 | 7% | 3 Aug → | ||
| 4–13 | -0.06 | 5% | 2 Aug → | ||
| 11–2 | 0.05 | 6% | 2 Aug → | ||
| 7–13 | -0.08 | 3% | 2 Aug → | ||
| 7–13 | -0.05 | 12% | 2 Aug → | ||
| 8–13 | -0.07 | 14% | 2 Aug → | ||
| 10–13 | 0.08 | 18% | 1 Aug → | ||
| 5–13 | -0.12 | 7% | 26 Jul → | ||
| 13–8 | -0.11 | 17% | 26 Jul → | ||
| 10–13 | 0.03 | 19% | 26 Jul → | ||
| 3–13 | -0.04 | 15% | 26 Jul → | ||
| 10–13 | -0.03 | 12% | 25 Jul → | ||
| 13–7 | 0.00 | 0% | 25 Jul → | ||
| 12–12 | -0.08 | 25% | 19 Jul → | ||
| 13–2 | 0.02 | 16% | 19 Jul → | ||
| 4–13 | -0.03 | 5% | 18 Jul → | ||
| 8–13 | -0.08 | 0% | 13 Jul → | ||
| 13–9 | -0.04 | 18% | 2 Jul → | ||
| 6–13 | -0.12 | 10% | 2 Jul → | ||
| office | 2–13 | -0.08 | 8% | 26 Jun → | |
| 12–12 | -0.08 | 9% | 22 Jun → | ||
| 13–5 | -0.05 | 0% | 21 Jun → | ||
| 6–13 | -0.05 | 27% | 21 Jun → | ||
| 9–13 | -0.05 | 9% | 11 Jun → | ||
| 12–12 | 0.00 | 14% | 11 Jun → | ||
| 4–13 | -0.11 | 25% | 6 Jun → | ||
| 7–13 | -0.06 | 18% | 4 Jun → | ||
| 12–12 | 0.01 | 10% | 3 Jun → | ||
| 6–13 | -0.06 | 8% | 3 Jun → | ||
| 13–7 | 0.01 | 17% | 3 Jun → | ||
| 6–13 | -0.08 | 0% | 2 Jun → | ||
| 6–13 | -0.09 | 19% | 2 Jun → | ||
| 13–9 | -0.01 | 18% | 1 Jun → | ||
| 6–13 | 0.10 | 13% | 31 May → | ||
| 5–13 | -0.03 | 17% | 30 May → | ||
| 13–10 | -0.09 | 4% | 29 May → | ||
| 6–13 | -0.08 | 25% | 28 May → | ||
| 6–13 | -0.04 | 25% | 28 May → | ||
| 13–10 | -0.04 | 9% | 28 May → | ||
| 13–9 | -0.01 | 16% | 24 May → | ||
| 8–13 | -0.04 | 14% | 23 May → | ||
| 12–12 | -0.09 | 17% | 22 May → | ||
| 13–7 | -0.04 | 0% | 22 May → | ||
| 13–6 | -0.02 | 17% | 22 May → |
Match data via Leetify.