Witcher 3 — CS2 Stats
76561198150276157[U:1:190010429]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Excellent 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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Strengths
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 66% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 588ms 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 7.5/10 (Strong), 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 | 36 | 20–16 | 56% | 0.04 | |
| B | 35 | 16–19 | 46% | 0.00 | |
| A | 12 | 7–5 | 58% | 0.01 | |
| S | 9 | 6–3 | 67% | 0.03 | |
| — | 2 | 0–2 | 0% | -0.00 | |
| — | 2 | 0–2 | 0% | -0.06 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| — | 1 | 0–1 | 0% | 0.02 | |
| rooftop | — | 1 | 0–1 | 0% | -0.06 |
| brewery | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (46% over 35). Start with the 6 essential Dust 2 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
46% win rate across 35 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.03 | 20% | 26 Aug → | ||
| 12–12 | 0.02 | 21% | 25 Jul → | ||
| 7–13 | 0.03 | 10% | 12 Jul → | ||
| 5–13 | -0.06 | 31% | 12 Jul → | ||
| 10–13 | 0.08 | 16% | 13 Jun → | ||
| 13–2 | 0.16 | 19% | 13 Jun → | ||
| 5–13 | 0.07 | 19% | 5 Jun → | ||
| 7–13 | 0.14 | 19% | 5 Jun → | ||
| 13–6 | -0.03 | 17% | 29 May → | ||
| 13–6 | 0.07 | 26% | 28 May → | ||
| 13–4 | 0.11 | 18% | 25 May → | ||
| 13–10 | 0.04 | 16% | 16 May → | ||
| 13–11 | 0.11 | 27% | 16 May → | ||
| 8–13 | 0.08 | 18% | 16 May → | ||
| 8–13 | 0.02 | 13% | 16 May → | ||
| 13–1 | 0.11 | 14% | 16 May → | ||
| 13–2 | -0.03 | 15% | 9 May → | ||
| 13–4 | -0.02 | 19% | 9 May → | ||
| 12–12 | 0.04 | 15% | 9 May → | ||
| 9–13 | -0.01 | 18% | 9 May → | ||
| 13–6 | -0.05 | 15% | 9 May → | ||
| 13–2 | 0.00 | 20% | 5 May → | ||
| 13–7 | 0.01 | 11% | 5 May → | ||
| 13–8 | -0.01 | 11% | 5 May → | ||
| 7–13 | 0.09 | 27% | 3 May → | ||
| 12–12 | 0.18 | 14% | 3 May → | ||
| 13–11 | 0.10 | 18% | 3 May → | ||
| 9–13 | 0.03 | 17% | 3 May → | ||
| 9–13 | 0.03 | 20% | 3 May → | ||
| 2–13 | -0.04 | 36% | 3 May → | ||
| 8–13 | -0.02 | 26% | 3 May → | ||
| 13–11 | 0.05 | 13% | 3 May → | ||
| 13–8 | 0.08 | 22% | 3 May → | ||
| 8–3 | 0.03 | 23% | 3 May → | ||
| 13–2 | 0.06 | 23% | 2 May → | ||
| 13–7 | 0.04 | 23% | 28 Apr → | ||
| 11–13 | -0.03 | 11% | 28 Apr → | ||
| 10–13 | -0.08 | 26% | 27 Apr → | ||
| 8–13 | -0.02 | 14% | 25 Apr → | ||
| 13–11 | -0.01 | 20% | 12 Apr → | ||
| 8–13 | 0.04 | 18% | 11 Apr → | ||
| 13–9 | 0.10 | 27% | 11 Apr → | ||
| 13–6 | 0.03 | 34% | 11 Apr → | ||
| 5–13 | -0.01 | 26% | 10 Apr → | ||
| 12–12 | 0.06 | 23% | 2 Apr → | ||
| 9–13 | -0.02 | 22% | 31 Mar → | ||
| 11–13 | -0.05 | 19% | 31 Mar → | ||
| 13–7 | 0.07 | 20% | 31 Mar → | ||
| 13–8 | 0.03 | 24% | 22 Mar → | ||
| 6–13 | 0.01 | 29% | 22 Mar → | ||
| 13–5 | 0.10 | 29% | 22 Mar → | ||
| 12–16 | 0.02 | 25% | 22 Mar → | ||
| 13–9 | -0.06 | 25% | 22 Mar → | ||
| 7–13 | 0.07 | 24% | 22 Mar → | ||
| 13–5 | 0.06 | 35% | 22 Mar → | ||
| 11–13 | -0.06 | 21% | 21 Mar → | ||
| 11–13 | -0.01 | 16% | 21 Mar → | ||
| 13–4 | 0.07 | 31% | 21 Mar → | ||
| 5–9 | -0.06 | 18% | 21 Mar → | ||
| 2–13 | -0.03 | 15% | 21 Mar → | ||
| 13–7 | 0.09 | 21% | 15 Mar → | ||
| 13–5 | 0.02 | 25% | 6 Feb → | ||
| 7–13 | 0.01 | 15% | 6 Feb → | ||
| 6–13 | 0.02 | 29% | 4 Feb → | ||
| 13–10 | 0.04 | 18% | 4 Feb → | ||
| 13–6 | 0.04 | 8% | 1 Feb → | ||
| 5–13 | 0.02 | 22% | 26 Jan → | ||
| 13–9 | 0.00 | 29% | 26 Jan → | ||
| 13–11 | -0.02 | 6% | 26 Jan → | ||
| rooftop | 6–9 | -0.06 | 22% | 19 Jan → | |
| 8–8 | 0.05 | 32% | 19 Jan → | ||
| 9–7 | -0.03 | 10% | 19 Jan → | ||
| 9–1 | 0.12 | 14% | 19 Jan → | ||
| 6–13 | -0.08 | 7% | 18 Jan → | ||
| 11–13 | -0.04 | 31% | 11 Jan → | ||
| 4–9 | -0.13 | 22% | 11 Jan → | ||
| 13–8 | -0.04 | 24% | 11 Jan → | ||
| 3–13 | -0.02 | 29% | 11 Jan → | ||
| 11–13 | 0.03 | 16% | 11 Jan → | ||
| 13–4 | -0.01 | 17% | 10 Jan → | ||
| 9–13 | -0.03 | 22% | 16 Dec → | ||
| 11–13 | 0.04 | 31% | 10 Dec → | ||
| 13–8 | -0.01 | 12% | 21 Sept → | ||
| 13–10 | 0.02 | 29% | 2 Sept → | ||
| 4–13 | -0.02 | 11% | 23 Aug → | ||
| 13–11 | -0.00 | 23% | 29 Jul → | ||
| 13–6 | -0.04 | 14% | 17 Jul → | ||
| 13–10 | 0.06 | 24% | 16 Jul → | ||
| 1–13 | 0.00 | 19% | 11 Jul → | ||
| 13–2 | -0.03 | 11% | 5 Jul → | ||
| 13–7 | 0.00 | 19% | 29 Jun → | ||
| 2–13 | -0.03 | 15% | 29 Jun → | ||
| 13–6 | -0.02 | 26% | 29 Jun → | ||
| 13–8 | 0.11 | 23% | 27 Jun → | ||
| 10–13 | 0.04 | 23% | 27 Jun → | ||
| 13–6 | 0.06 | 20% | 21 Jun → | ||
| 5–9 | 0.06 | 23% | 21 Jun → | ||
| 6–9 | -0.10 | 15% | 21 Jun → | ||
| 9–6 | 0.04 | 9% | 20 Jun → | ||
| brewery | 2–9 | 0.02 | 16% | 20 Jun → |
Match data via Leetify.