dasmako — CS2 Stats
76561197960679208[U:1:413480]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 93% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: 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. 597ms 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 6.6/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 21 | 13–8 | 62% | 0.01 | |
| A | 17 | 10–7 | 59% | 0.02 | |
| D | 10 | 3–7 | 30% | -0.02 | |
| S | 8 | 6–2 | 75% | 0.04 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| office | D | 6 | 2–4 | 33% | 0.03 |
| C | 5 | 2–3 | 40% | 0.01 | |
| alpine | — | 4 | 2–2 | 50% | 0.04 |
| fachwerk | — | 3 | 1–2 | 33% | 0.04 |
| debris | — | 2 | 2–0 | 100% | 0.09 |
| — | 2 | 0–2 | 0% | 0.05 | |
| shelter | — | 2 | 2–0 | 100% | 0.04 |
| warden | — | 2 | 1–1 | 50% | 0.04 |
| eldorado | — | 1 | 1–0 | 100% | 0.17 |
| poseidon | — | 1 | 1–0 | 100% | 0.03 |
| boulder | — | 1 | 0–1 | 0% | -0.02 |
| italy | — | 1 | 1–0 | 100% | 0.03 |
| — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
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 13.1296° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.03 | 17% | 18 Aug → | ||
| debris | 9–5 | -0.07 | 11% | 13 Aug → | |
| 6–9 | -0.10 | 18% | 13 Aug → | ||
| 3–9 | -0.14 | 18% | 13 Aug → | ||
| 13–10 | 0.06 | 26% | 7 Aug → | ||
| 13–8 | 0.05 | 31% | 7 Aug → | ||
| 13–3 | 0.13 | 15% | 7 Aug → | ||
| 13–10 | -0.03 | 27% | 30 Jul → | ||
| 7–13 | -0.05 | 21% | 25 Jul → | ||
| fachwerk | 11–13 | 0.03 | 18% | 25 Jul → | |
| 9–13 | -0.04 | 20% | 25 Jul → | ||
| 6–9 | -0.04 | 43% | 25 Jul → | ||
| eldorado | 9–2 | 0.17 | 28% | 25 Jul → | |
| poseidon | 9–2 | 0.03 | 24% | 25 Jul → | |
| debris | 9–1 | 0.25 | 20% | 25 Jul → | |
| 7–13 | -0.03 | 15% | 21 Jul → | ||
| 10–13 | 0.03 | 24% | 21 Jul → | ||
| shelter | 13–10 | -0.00 | 16% | 16 Jul → | |
| 3–13 | -0.04 | 21% | 16 Jul → | ||
| fachwerk | 10–13 | 0.07 | 42% | 16 Jul → | |
| 13–9 | 0.04 | 39% | 16 Jul → | ||
| 13–7 | 0.12 | 30% | 16 Jul → | ||
| 13–5 | -0.02 | 18% | 15 Jul → | ||
| 13–10 | 0.01 | 27% | 15 Jul → | ||
| shelter | 13–8 | 0.08 | 21% | 9 Jul → | |
| fachwerk | 13–11 | 0.03 | 18% | 9 Jul → | |
| boulder | 6–13 | -0.02 | 33% | 9 Jul → | |
| 13–4 | 0.07 | 25% | 8 Jul → | ||
| 11–13 | 0.01 | 21% | 5 Jul → | ||
| 13–9 | 0.03 | 20% | 5 Jul → | ||
| 9–13 | -0.00 | 22% | 5 Jul → | ||
| 13–9 | 0.05 | 31% | 5 Jul → | ||
| warden | 13–9 | 0.03 | 26% | 4 Jul → | |
| alpine | 6–13 | -0.02 | 19% | 4 Jul → | |
| 13–5 | 0.09 | 19% | 4 Jul → | ||
| 13–3 | 0.08 | 18% | 4 Jul → | ||
| 10–13 | 0.02 | 33% | 4 Jul → | ||
| 13–4 | 0.03 | 17% | 4 Jul → | ||
| 13–10 | 0.03 | 20% | 4 Jul → | ||
| 13–10 | -0.04 | 16% | 4 Jul → | ||
| 9–8 | -0.02 | 25% | 4 Jul → | ||
| 4–13 | -0.04 | 17% | 3 Jul → | ||
| 7–5 | -0.03 | 25% | 3 Jul → | ||
| 9–13 | 0.02 | 16% | 3 Jul → | ||
| alpine | 12–12 | 0.03 | 25% | 3 Jul → | |
| 12–12 | 0.09 | 19% | 3 Jul → | ||
| 10–13 | -0.00 | 30% | 3 Jul → | ||
| 13–8 | -0.01 | 21% | 3 Jul → | ||
| 13–9 | -0.02 | 32% | 3 Jul → | ||
| 9–13 | -0.04 | 20% | 2 Jul → | ||
| 9–13 | 0.04 | 19% | 2 Jul → | ||
| 7–13 | -0.02 | 16% | 2 Jul → | ||
| italy | 13–11 | 0.03 | 30% | 1 Jul → | |
| 8–13 | 0.08 | 17% | 27 Jun → | ||
| 7–13 | -0.07 | 28% | 27 Jun → | ||
| 13–10 | -0.00 | 18% | 27 Jun → | ||
| 9–13 | 0.02 | 29% | 27 Jun → | ||
| 12–16 | 0.00 | 22% | 27 Jun → | ||
| 9–13 | -0.01 | 15% | 26 Jun → | ||
| 13–6 | 0.04 | 19% | 24 Jun → | ||
| 13–7 | 0.05 | 27% | 24 Jun → | ||
| 10–13 | 0.04 | 18% | 24 Jun → | ||
| 13–5 | -0.06 | 25% | 22 Jun → | ||
| 9–13 | -0.01 | 15% | 22 Jun → | ||
| alpine | 13–7 | 0.06 | 18% | 19 Jun → | |
| 13–9 | 0.10 | 30% | 19 Jun → | ||
| 13–8 | 0.09 | 43% | 19 Jun → | ||
| office | 6–13 | -0.05 | 43% | 19 Jun → | |
| 13–7 | 0.04 | 29% | 19 Jun → | ||
| 13–4 | -0.02 | 12% | 19 Jun → | ||
| 9–13 | 0.07 | 22% | 10 Jun → | ||
| 13–7 | -0.01 | 20% | 10 Jun → | ||
| 13–6 | 0.03 | 16% | 10 Jun → | ||
| 13–7 | 0.00 | 14% | 8 Jun → | ||
| 13–6 | -0.03 | 11% | 8 Jun → | ||
| 13–10 | 0.04 | 22% | 3 Jun → | ||
| 13–9 | -0.04 | 21% | 28 May → | ||
| 13–9 | 0.05 | 16% | 22 May → | ||
| 8–13 | -0.02 | 17% | 22 May → | ||
| 11–13 | -0.04 | 13% | 21 May → | ||
| 13–8 | 0.22 | 20% | 17 May → | ||
| office | 6–13 | 0.03 | 25% | 17 May → | |
| 12–12 | -0.01 | 17% | 15 May → | ||
| 8–13 | 0.02 | 21% | 14 May → | ||
| 8–13 | 0.03 | 27% | 14 May → | ||
| office | 13–10 | 0.05 | 29% | 8 May → | |
| 9–13 | 0.03 | 20% | 8 May → | ||
| 13–11 | -0.03 | 14% | 8 May → | ||
| office | 12–12 | 0.06 | 31% | 7 May → | |
| warden | 12–12 | 0.05 | 23% | 7 May → | |
| 13–9 | 0.01 | 24% | 7 May → | ||
| 12–12 | -0.00 | 17% | 7 May → | ||
| alpine | 13–4 | 0.10 | 22% | 6 May → | |
| 2–13 | -0.06 | 24% | 6 May → | ||
| office | 6–13 | 0.00 | 30% | 5 May → | |
| 13–6 | 0.09 | 43% | 5 May → | ||
| 13–6 | -0.03 | 19% | 5 May → | ||
| office | 13–6 | 0.08 | 28% | 4 May → | |
| 1–13 | 0.02 | 32% | 4 May → | ||
| 13–7 | 0.08 | 35% | 4 May → |
Match data via Leetify.
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