Tipp — CS2 Stats
76561198212647244[U:1:252381516]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side opener
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 95% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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
Strengths
Aim. Aim score of 95 — the mechanical foundation is a clear strength.
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 578ms 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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 10–17 | 37% | 0.06 | |
| A | 23 | 14–9 | 61% | 0.08 | |
| A | 18 | 11–7 | 61% | 0.06 | |
| B | 17 | 8–9 | 47% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.07 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.08 | |
| — | 1 | 0–1 | 0% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.13 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (37% over 27). 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 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 31.9609% — 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 27 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.02 | 15% | 25 Aug → | ||
| 9–13 | 0.03 | 29% | 24 Aug → | ||
| 10–13 | -0.01 | 21% | 24 Aug → | ||
| 13–8 | 0.11 | 21% | 24 Aug → | ||
| 13–6 | 0.05 | 24% | 18 Aug → | ||
| 13–10 | 0.08 | 30% | 17 Aug → | ||
| 6–13 | -0.04 | 24% | 17 Aug → | ||
| 13–11 | 0.03 | 34% | 17 Aug → | ||
| 13–9 | 0.07 | 30% | 17 Aug → | ||
| 9–13 | 0.01 | 39% | 17 Aug → | ||
| 13–9 | 0.18 | 47% | 17 Aug → | ||
| 13–16 | 0.03 | 32% | 17 Aug → | ||
| 13–5 | 0.12 | 26% | 17 Aug → | ||
| 10–13 | -0.02 | 27% | 16 Aug → | ||
| 13–11 | 0.08 | 28% | 16 Aug → | ||
| 16–13 | 0.01 | 20% | 16 Aug → | ||
| 13–11 | 0.01 | 22% | 16 Aug → | ||
| 13–3 | 0.11 | 32% | 16 Aug → | ||
| 5–13 | 0.01 | 21% | 16 Aug → | ||
| 7–13 | 0.05 | 26% | 16 Aug → | ||
| 13–11 | 0.12 | 31% | 16 Aug → | ||
| 13–6 | 0.12 | 19% | 10 Aug → | ||
| 13–11 | 0.06 | 33% | 10 Aug → | ||
| 15–15 | 0.10 | 22% | 10 Aug → | ||
| 5–13 | 0.02 | 30% | 9 Aug → | ||
| 9–13 | 0.06 | 27% | 8 Aug → | ||
| 10–13 | 0.07 | 43% | 8 Aug → | ||
| 16–14 | -0.05 | 29% | 3 Aug → | ||
| 13–4 | 0.17 | 50% | 3 Aug → | ||
| 13–6 | 0.06 | 26% | 3 Aug → | ||
| 13–11 | 0.03 | 22% | 2 Aug → | ||
| 11–13 | 0.04 | 39% | 2 Aug → | ||
| 15–15 | 0.02 | 28% | 2 Aug → | ||
| 9–13 | -0.00 | 16% | 2 Aug → | ||
| 13–8 | -0.01 | 34% | 2 Aug → | ||
| 10–13 | 0.08 | 27% | 2 Aug → | ||
| 6–13 | -0.04 | 36% | 2 Aug → | ||
| 10–13 | 0.03 | 38% | 1 Aug → | ||
| 13–8 | 0.08 | 12% | 1 Aug → | ||
| 13–3 | 0.10 | 22% | 26 Jul → | ||
| 13–6 | 0.07 | 28% | 26 Jul → | ||
| 13–8 | 0.10 | 16% | 25 Jul → | ||
| 13–4 | 0.13 | 22% | 25 Jul → | ||
| 13–10 | 0.08 | 26% | 25 Jul → | ||
| 14–16 | 0.02 | 23% | 25 Jul → | ||
| 10–13 | 0.08 | 21% | 25 Jul → | ||
| 12–12 | 0.00 | 20% | 15 Jun → | ||
| 10–13 | -0.00 | 15% | 1 Jun → | ||
| 15–15 | 0.10 | 33% | 31 May → | ||
| 9–13 | 0.01 | 28% | 31 May → | ||
| 15–15 | 0.13 | 21% | 31 May → | ||
| 13–8 | 0.02 | 22% | 31 May → | ||
| 13–8 | 0.15 | 24% | 31 May → | ||
| 13–10 | 0.08 | 25% | 31 May → | ||
| 13–7 | 0.10 | 17% | 31 May → | ||
| 8–13 | 0.06 | 42% | 29 May → | ||
| 11–13 | 0.10 | 35% | 29 May → | ||
| 5–13 | 0.06 | 47% | 25 May → | ||
| 13–6 | 0.18 | 39% | 25 May → | ||
| 6–10 | -0.03 | 31% | 23 May → | ||
| 13–7 | 0.12 | 26% | 23 May → | ||
| 10–13 | 0.04 | 28% | 22 May → | ||
| 7–13 | 0.05 | 25% | 22 May → | ||
| 13–4 | 0.05 | 24% | 3 May → | ||
| 4–13 | 0.05 | 19% | 30 Nov → | ||
| 8–13 | 0.05 | 21% | 9 Nov → | ||
| 7–13 | 0.09 | 19% | 1 Nov → | ||
| 13–9 | 0.05 | 31% | 1 Nov → | ||
| 13–4 | 0.06 | 22% | 1 Nov → | ||
| 13–5 | 0.01 | 23% | 30 Oct → | ||
| 13–11 | 0.09 | 30% | 25 Oct → | ||
| 13–11 | 0.07 | 33% | 25 Oct → | ||
| 13–6 | 0.08 | 19% | 25 Oct → | ||
| 12–12 | 0.06 | 25% | 23 Oct → | ||
| 13–11 | 0.09 | 27% | 17 Oct → | ||
| 7–11 | 0.09 | 23% | 17 Oct → | ||
| 9–13 | 0.07 | 25% | 17 Oct → | ||
| 13–10 | 0.06 | 15% | 13 Oct → | ||
| 11–13 | 0.08 | 20% | 9 Oct → | ||
| 13–7 | 0.05 | 21% | 9 Oct → | ||
| 7–13 | 0.04 | 23% | 9 Oct → | ||
| 12–12 | 0.04 | 21% | 9 Oct → | ||
| 4–13 | -0.00 | 34% | 8 Oct → | ||
| 13–7 | 0.15 | 19% | 8 Oct → | ||
| 13–6 | 0.12 | 25% | 6 Oct → | ||
| 13–1 | 0.06 | 28% | 6 Oct → | ||
| 11–13 | 0.05 | 14% | 6 Oct → | ||
| 9–13 | 0.00 | 13% | 5 Oct → | ||
| 13–10 | 0.09 | 15% | 5 Oct → | ||
| 13–6 | 0.13 | 34% | 30 Sept → | ||
| 6–13 | -0.06 | 17% | 30 Sept → | ||
| 10–13 | 0.04 | 29% | 30 Sept → | ||
| 13–10 | 0.11 | 13% | 29 Sept → | ||
| 11–13 | 0.00 | 17% | 29 Sept → | ||
| 13–9 | 0.11 | 23% | 28 Sept → | ||
| 13–8 | 0.05 | 23% | 28 Sept → | ||
| 13–10 | 0.05 | 20% | 27 Sept → | ||
| 8–13 | 0.01 | 9% | 25 Sept → | ||
| 13–8 | 0.05 | 10% | 24 Sept → | ||
| 12–12 | 0.17 | 16% | 23 Sept → |
Match data via Leetify.