DoomNut — CS2 Stats
76561198319782878[U:1:359517150]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 ropz 79% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% 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 4.7/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 21 | 11–10 | 52% | -0.02 | |
| C | 19 | 7–12 | 37% | -0.01 | |
| A | 18 | 11–7 | 61% | -0.01 | |
| C | 14 | 6–8 | 43% | 0.00 | |
| A | 13 | 8–5 | 62% | -0.01 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| — | 4 | 3–1 | 75% | -0.05 | |
| — | 2 | 1–1 | 50% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Anubis 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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.054 — below the 0.5 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 38.9195% — 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.
37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.04 | 20% | 28 Aug → | ||
| 13–11 | -0.00 | 28% | 28 Aug → | ||
| 13–6 | -0.04 | 20% | 27 Aug → | ||
| 5–13 | -0.06 | 32% | 25 Aug → | ||
| 13–9 | -0.02 | 15% | 23 Aug → | ||
| 16–14 | -0.00 | 13% | 23 Aug → | ||
| 16–14 | -0.02 | 15% | 23 Aug → | ||
| 5–13 | -0.03 | 8% | 23 Aug → | ||
| 13–8 | -0.02 | 29% | 23 Aug → | ||
| 13–10 | -0.03 | 29% | 23 Aug → | ||
| 13–6 | 0.15 | 24% | 23 Aug → | ||
| 13–4 | -0.03 | 35% | 23 Aug → | ||
| 13–3 | 0.03 | 25% | 23 Aug → | ||
| 10–13 | -0.08 | 30% | 23 Aug → | ||
| 13–9 | -0.03 | 20% | 22 Aug → | ||
| 13–8 | -0.00 | 63% | 22 Aug → | ||
| 13–4 | 0.07 | 27% | 22 Aug → | ||
| 13–8 | 0.00 | 21% | 22 Aug → | ||
| 5–13 | -0.10 | 42% | 22 Aug → | ||
| 12–16 | -0.08 | 19% | 22 Aug → | ||
| 13–11 | 0.03 | 16% | 22 Aug → | ||
| 13–10 | 0.05 | 31% | 22 Aug → | ||
| 8–8 | -0.04 | 13% | 21 Aug → | ||
| 10–13 | -0.01 | 22% | 20 Aug → | ||
| 8–13 | -0.04 | 21% | 20 Aug → | ||
| 13–5 | -0.05 | 18% | 19 Aug → | ||
| 13–3 | 0.03 | 24% | 19 Aug → | ||
| 7–3 | 0.05 | 23% | 18 Aug → | ||
| 9–13 | 0.01 | 30% | 18 Aug → | ||
| 7–13 | -0.09 | 17% | 17 Aug → | ||
| 13–6 | 0.03 | 24% | 17 Aug → | ||
| 13–6 | -0.05 | 23% | 13 Aug → | ||
| 15–15 | -0.00 | 13% | 12 Aug → | ||
| 6–13 | -0.06 | 17% | 12 Aug → | ||
| 3–12 | -0.07 | 35% | 12 Aug → | ||
| 13–9 | 0.06 | 27% | 11 Aug → | ||
| 13–1 | -0.04 | 16% | 11 Aug → | ||
| 13–3 | 0.02 | 24% | 11 Aug → | ||
| 15–15 | -0.01 | 19% | 10 Aug → | ||
| 10–13 | -0.01 | 21% | 10 Aug → | ||
| 11–13 | -0.01 | 16% | 9 Aug → | ||
| 13–6 | -0.04 | 15% | 9 Aug → | ||
| 13–11 | 0.01 | 24% | 9 Aug → | ||
| 13–9 | 0.05 | 29% | 9 Aug → | ||
| 11–13 | 0.05 | 12% | 9 Aug → | ||
| 15–15 | 0.02 | 24% | 9 Aug → | ||
| 13–4 | 0.02 | 28% | 9 Aug → | ||
| 13–8 | 0.01 | 24% | 8 Aug → | ||
| 7–13 | -0.06 | 30% | 8 Aug → | ||
| 13–11 | -0.03 | 15% | 7 Aug → | ||
| 8–13 | -0.08 | 19% | 7 Aug → | ||
| 13–2 | 0.00 | 45% | 7 Aug → | ||
| 13–4 | 0.03 | 36% | 6 Aug → | ||
| 10–13 | 0.03 | 23% | 5 Aug → | ||
| 13–2 | 0.00 | 24% | 5 Aug → | ||
| 13–9 | -0.01 | 21% | 5 Aug → | ||
| 9–13 | 0.01 | 24% | 4 Aug → | ||
| 10–13 | 0.04 | 29% | 4 Aug → | ||
| 15–15 | 0.02 | 39% | 4 Aug → | ||
| 13–9 | -0.06 | 21% | 3 Aug → | ||
| 13–9 | -0.00 | 33% | 3 Aug → | ||
| 8–13 | -0.07 | 29% | 2 Aug → | ||
| 6–13 | -0.01 | 23% | 2 Aug → | ||
| 11–13 | -0.05 | 9% | 2 Aug → | ||
| 5–13 | -0.07 | 33% | 2 Aug → | ||
| 13–4 | -0.00 | 20% | 2 Aug → | ||
| 11–13 | -0.05 | 29% | 2 Aug → | ||
| 5–13 | -0.09 | 25% | 2 Aug → | ||
| 15–15 | -0.02 | 30% | 2 Aug → | ||
| 15–15 | 0.00 | 18% | 1 Aug → | ||
| 13–7 | 0.02 | 33% | 1 Aug → | ||
| 13–8 | 0.03 | 16% | 31 Jul → | ||
| 8–13 | -0.04 | 22% | 28 Jul → | ||
| 15–15 | -0.07 | 21% | 27 Jul → | ||
| 8–13 | -0.01 | 26% | 26 Jul → | ||
| 4–13 | -0.09 | 15% | 25 Jul → | ||
| 13–9 | -0.03 | 23% | 25 Jul → | ||
| 13–10 | 0.00 | 43% | 25 Jul → | ||
| 13–9 | 0.05 | 18% | 25 Jul → | ||
| 11–13 | -0.05 | 19% | 25 Jul → | ||
| 7–13 | -0.08 | 17% | 25 Jul → | ||
| 13–9 | -0.01 | 33% | 25 Jul → | ||
| 13–8 | -0.06 | 9% | 25 Jul → | ||
| 15–15 | -0.03 | 30% | 25 Jul → | ||
| 15–15 | -0.03 | 22% | 24 Jul → | ||
| 13–10 | 0.03 | 20% | 23 Jul → | ||
| 12–16 | -0.03 | 23% | 23 Jul → | ||
| 13–6 | 0.02 | 7% | 23 Jul → | ||
| 13–10 | -0.05 | 19% | 23 Jul → | ||
| 6–13 | -0.08 | 32% | 23 Jul → | ||
| 8–13 | 0.01 | 24% | 23 Jul → | ||
| 13–7 | -0.02 | 16% | 23 Jul → | ||
| 13–7 | 0.04 | 31% | 23 Jul → | ||
| 13–7 | -0.01 | 27% | 23 Jul → | ||
| 8–13 | -0.02 | 27% | 23 Jul → | ||
| 13–4 | 0.02 | 29% | 23 Jul → | ||
| 8–13 | -0.01 | 41% | 22 Jul → | ||
| 10–13 | -0.04 | 20% | 22 Jul → | ||
| 4–13 | -0.10 | 20% | 19 Jul → | ||
| 13–6 | 0.11 | 13% | 19 Jul → |
Match data via Leetify.