wolfman — CS2 Stats
76561198378848449[U:1:418582721]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong CT-side openerLimited 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 sh1ro 82% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 65% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 625ms 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 5.6/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 24 | 6–18 | 25% | 0.02 | |
| D | 16 | 5–11 | 31% | 0.02 | |
| A | 16 | 10–6 | 63% | 0.04 | |
| C | 14 | 5–9 | 36% | 0.02 | |
| S | 11 | 8–3 | 73% | 0.05 | |
| A | 8 | 5–3 | 63% | 0.00 | |
| D | 7 | 2–5 | 29% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.00 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (25% over 24). Start with the 6 essential Dust 2 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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.8117% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.816 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
25% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.04 | 9% | 27 Aug → | ||
| 13–9 | 0.00 | 11% | 27 Aug → | ||
| 13–1 | 0.02 | 15% | 27 Aug → | ||
| 13–6 | 0.04 | 16% | 27 Aug → | ||
| 13–9 | 0.01 | 10% | 27 Aug → | ||
| 3–13 | -0.09 | 10% | 22 Aug → | ||
| 13–8 | 0.03 | 23% | 22 Aug → | ||
| 13–9 | 0.06 | 20% | 15 Aug → | ||
| 13–10 | 0.04 | 13% | 12 Aug → | ||
| 4–13 | -0.05 | 17% | 12 Aug → | ||
| 13–3 | -0.03 | 16% | 12 Aug → | ||
| 13–4 | 0.05 | 14% | 9 Aug → | ||
| 13–9 | 0.15 | 16% | 2 Aug → | ||
| 6–13 | 0.01 | 18% | 1 Aug → | ||
| 13–9 | 0.08 | 14% | 1 Aug → | ||
| 8–13 | 0.04 | 20% | 1 Aug → | ||
| 9–13 | -0.02 | 9% | 1 Aug → | ||
| 9–13 | -0.02 | 16% | 1 Aug → | ||
| 11–13 | -0.01 | 9% | 1 Aug → | ||
| 10–13 | -0.01 | 21% | 1 Aug → | ||
| 10–13 | -0.01 | 8% | 1 Aug → | ||
| 13–10 | -0.00 | 18% | 31 Jul → | ||
| 12–16 | 0.05 | 16% | 31 Jul → | ||
| 13–5 | 0.04 | 8% | 31 Jul → | ||
| 10–13 | -0.04 | 7% | 31 Jul → | ||
| 13–8 | 0.13 | 16% | 31 Jul → | ||
| 15–15 | 0.04 | 19% | 29 Jul → | ||
| 13–7 | 0.08 | 14% | 29 Jul → | ||
| 10–13 | -0.05 | 19% | 26 Jul → | ||
| 13–8 | 0.13 | 17% | 22 Jul → | ||
| 10–13 | -0.07 | 10% | 18 Jul → | ||
| 13–5 | -0.03 | 19% | 18 Jul → | ||
| 9–13 | -0.05 | 6% | 18 Jul → | ||
| 10–13 | -0.02 | 15% | 14 Jul → | ||
| 16–14 | 0.01 | 18% | 14 Jul → | ||
| 7–13 | 0.03 | 15% | 14 Jul → | ||
| 13–6 | 0.06 | 15% | 8 Jul → | ||
| 13–8 | -0.02 | 7% | 8 Jul → | ||
| 13–9 | 0.06 | 12% | 8 Jul → | ||
| 11–13 | -0.02 | 13% | 7 Jul → | ||
| 13–6 | 0.04 | 19% | 6 Jul → | ||
| 13–8 | 0.01 | 14% | 5 Jul → | ||
| 10–13 | 0.06 | 18% | 5 Jul → | ||
| 2–13 | -0.01 | 18% | 4 Jul → | ||
| 9–13 | 0.03 | 15% | 4 Jul → | ||
| 4–13 | 0.06 | 10% | 28 Jun → | ||
| 13–16 | 0.04 | 14% | 27 Jun → | ||
| 13–4 | 0.05 | 21% | 27 Jun → | ||
| 10–13 | 0.10 | 18% | 27 Jun → | ||
| 10–13 | 0.02 | 6% | 27 Jun → | ||
| 4–13 | -0.05 | 13% | 27 Jun → | ||
| 8–13 | 0.06 | 10% | 27 Jun → | ||
| 13–6 | 0.02 | 17% | 27 Jun → | ||
| 11–13 | 0.08 | 18% | 27 Jun → | ||
| 2–13 | 0.04 | 26% | 27 Jun → | ||
| 8–13 | 0.07 | 19% | 27 Jun → | ||
| 13–7 | 0.16 | 11% | 27 Jun → | ||
| 15–15 | 0.00 | 5% | 20 Jun → | ||
| 10–13 | -0.01 | 10% | 20 Jun → | ||
| 15–15 | 0.08 | 15% | 16 Jun → | ||
| 10–13 | 0.01 | 15% | 31 May → | ||
| 13–7 | 0.10 | 15% | 31 May → | ||
| 13–5 | 0.11 | 14% | 16 May → | ||
| 4–13 | -0.01 | 14% | 15 May → | ||
| 13–10 | -0.04 | 17% | 6 May → | ||
| 13–4 | -0.01 | 9% | 6 May → | ||
| 7–13 | -0.07 | 17% | 27 Apr → | ||
| 10–13 | 0.10 | 21% | 27 Apr → | ||
| 11–13 | -0.04 | 5% | 15 Apr → | ||
| 13–5 | 0.13 | 21% | 12 Apr → | ||
| 15–15 | -0.02 | 16% | 6 Apr → | ||
| 9–13 | -0.01 | 13% | 26 Mar → | ||
| 13–7 | 0.07 | 3% | 26 Mar → | ||
| 16–13 | 0.03 | 13% | 25 Mar → | ||
| 13–5 | 0.07 | 8% | 25 Mar → | ||
| 11–13 | 0.00 | 11% | 23 Mar → | ||
| 13–6 | 0.09 | 24% | 23 Mar → | ||
| 5–13 | -0.06 | 17% | 22 Mar → | ||
| 13–16 | 0.05 | 15% | 22 Mar → | ||
| 7–13 | -0.01 | 24% | 22 Mar → | ||
| 13–10 | 0.02 | 12% | 22 Mar → | ||
| 13–8 | 0.04 | 6% | 21 Mar → | ||
| 15–15 | 0.00 | 13% | 21 Mar → | ||
| 9–13 | 0.15 | 13% | 14 Mar → | ||
| 8–13 | -0.00 | 8% | 14 Mar → | ||
| 8–13 | -0.04 | 11% | 14 Mar → | ||
| 13–10 | 0.04 | 13% | 14 Mar → | ||
| 13–8 | 0.02 | 10% | 14 Mar → | ||
| 5–13 | 0.01 | 15% | 13 Mar → | ||
| 13–4 | 0.07 | 10% | 13 Mar → | ||
| 13–7 | 0.05 | 19% | 13 Mar → | ||
| 13–16 | 0.02 | 7% | 13 Mar → | ||
| 6–13 | -0.03 | 11% | 13 Mar → | ||
| 8–13 | 0.07 | 18% | 11 Mar → | ||
| 13–11 | 0.00 | 18% | 11 Mar → | ||
| 4–13 | 0.02 | 12% | 21 Feb → | ||
| 13–6 | 0.16 | 6% | 21 Feb → | ||
| 2–13 | 0.04 | 8% | 21 Feb → | ||
| 7–13 | 0.04 | 7% | 18 Feb → | ||
| 6–13 | 0.02 | 18% | 18 Feb → |
Match data via Leetify.
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