man wit plan — CS2 Stats
76561197981616971[U:1:21351243]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 NiKo 93% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower aim profile; higher 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
Areas to improve
T-side openings. Opening success drops from 48% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
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 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 17 | 8–9 | 47% | 0.02 | |
| B | 16 | 8–8 | 50% | -0.00 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| B | 12 | 6–6 | 50% | 0.03 | |
| S | 7 | 5–2 | 71% | 0.01 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| C | 5 | 2–3 | 40% | -0.00 | |
| — | 3 | 2–1 | 67% | 0.12 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| fachwerk | — | 1 | 0–1 | 0% | 0.03 |
| boulder | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Vertigo 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 281 | 45% | 0.93 | 13.9 |
| Dust2 | 205 | 56% | 1.02 | 15.0 |
| Anubis | 182 | 57% | 1.07 | 15.5 |
| Nuke | 131 | 52% | 1.03 | 15.6 |
| Inferno | 128 | 45% | 1.05 | 14.8 |
| Ancient | 128 | 49% | 0.96 | 14.1 |
| Vertigo | 41 | 56% | 1.13 | 16.4 |
| Train | 38 | 45% | 0.92 | 14.6 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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 25.8272% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | 0.02 | 13% | 28 Aug → | ||
| 13–10 | 0.02 | 13% | 27 Aug → | ||
| 7–13 | -0.01 | 21% | 25 Aug → | ||
| 4–13 | 0.10 | 10% | 25 Aug → | ||
| fachwerk | 2–13 | 0.03 | 15% | 23 Aug → | |
| boulder | 13–1 | 0.02 | 13% | 23 Aug → | |
| 16–14 | 0.01 | 12% | 22 Aug → | ||
| 13–5 | 0.11 | 16% | 21 Aug → | ||
| 15–15 | 0.02 | 18% | 21 Aug → | ||
| 13–2 | -0.01 | 6% | 20 Aug → | ||
| 2–5 | -0.06 | 40% | 20 Aug → | ||
| 13–10 | -0.02 | 11% | 20 Aug → | ||
| 15–19 | 0.03 | 23% | 16 Aug → | ||
| 13–10 | 0.01 | 28% | 16 Aug → | ||
| 8–13 | -0.04 | 17% | 16 Aug → | ||
| 10–13 | 0.05 | 27% | 11 Aug → | ||
| 12–12 | 0.05 | 22% | 11 Aug → | ||
| 13–6 | 0.07 | 15% | 9 Aug → | ||
| 8–13 | 0.02 | 19% | 9 Aug → | ||
| 3–13 | 0.01 | 25% | 9 Aug → | ||
| 3–13 | 0.01 | 21% | 9 Aug → | ||
| 10–13 | -0.04 | 11% | 8 Aug → | ||
| 13–9 | 0.01 | 22% | 2 Aug → | ||
| 13–2 | 0.02 | 5% | 2 Aug → | ||
| 11–13 | -0.04 | 20% | 1 Aug → | ||
| 13–6 | 0.07 | 18% | 1 Aug → | ||
| 13–7 | -0.04 | 15% | 27 Jul → | ||
| 10–13 | 0.08 | 14% | 26 Jul → | ||
| 11–13 | 0.02 | 14% | 19 Jul → | ||
| 2–13 | -0.03 | 24% | 19 Jul → | ||
| 13–9 | 0.02 | 20% | 19 Jul → | ||
| 13–10 | 0.02 | 12% | 15 Jul → | ||
| 10–13 | -0.04 | 21% | 5 Jul → | ||
| 8–13 | 0.02 | 12% | 5 Jul → | ||
| 9–13 | 0.03 | 17% | 5 Jul → | ||
| 7–13 | 0.02 | 16% | 5 Jul → | ||
| 13–11 | -0.01 | 24% | 4 Jul → | ||
| 13–10 | 0.07 | 21% | 4 Jul → | ||
| 16–14 | 0.02 | 8% | 2 Jul → | ||
| 13–9 | -0.02 | 18% | 1 Jul → | ||
| 13–6 | 0.15 | 27% | 20 Jun → | ||
| 8–13 | -0.04 | 21% | 30 May → | ||
| 17–19 | 0.01 | 15% | 30 May → | ||
| 13–10 | 0.08 | 14% | 29 May → | ||
| 13–5 | 0.00 | 18% | 27 May → | ||
| 11–13 | -0.03 | 15% | 25 May → | ||
| 13–6 | 0.13 | 28% | 24 May → | ||
| 13–5 | 0.10 | 17% | 24 May → | ||
| 22–25 | 0.01 | 9% | 8 May → | ||
| 7–13 | -0.00 | 14% | 1 May → | ||
| 9–13 | -0.03 | 15% | 27 Apr → | ||
| 13–4 | 0.02 | 21% | 26 Apr → | ||
| 13–8 | 0.04 | 16% | 25 Apr → | ||
| 7–13 | 0.00 | 16% | 25 Apr → | ||
| 10–13 | 0.06 | 19% | 24 Apr → | ||
| 13–3 | 0.05 | 28% | 23 Apr → | ||
| 12–12 | -0.02 | 30% | 15 Apr → | ||
| 13–3 | 0.05 | 22% | 15 Apr → | ||
| 8–13 | 0.00 | 14% | 13 Apr → | ||
| 13–11 | 0.02 | 20% | 10 Apr → | ||
| 2–9 | -0.15 | 14% | 5 Apr → | ||
| 9–6 | 0.17 | 10% | 5 Apr → | ||
| 9–7 | 0.08 | 10% | 5 Apr → | ||
| 13–2 | 0.08 | 15% | 3 Apr → | ||
| 6–13 | -0.02 | 19% | 3 Apr → | ||
| 13–11 | -0.04 | 16% | 2 Apr → | ||
| 10–13 | 0.01 | 18% | 29 Mar → | ||
| 4–13 | -0.02 | 15% | 28 Mar → | ||
| 13–11 | 0.03 | 15% | 27 Mar → | ||
| 9–13 | 0.07 | 17% | 27 Mar → | ||
| 10–13 | 0.05 | 16% | 27 Mar → | ||
| 13–8 | 0.01 | 18% | 22 Mar → | ||
| 12–12 | -0.05 | 14% | 19 Mar → | ||
| 13–4 | 0.03 | 9% | 18 Mar → | ||
| 13–11 | 0.02 | 18% | 18 Mar → | ||
| 13–8 | 0.05 | 31% | 18 Mar → | ||
| 12–12 | 0.01 | 18% | 17 Mar → | ||
| 13–9 | 0.04 | 14% | 11 Mar → | ||
| 13–11 | 0.04 | 14% | 7 Mar → | ||
| 13–10 | -0.02 | 11% | 7 Mar → | ||
| 13–10 | 0.04 | 14% | 6 Mar → | ||
| 7–13 | 0.02 | 11% | 6 Mar → | ||
| 12–12 | 0.08 | 28% | 25 Feb → | ||
| 3–13 | 0.02 | 13% | 25 Feb → | ||
| 13–5 | 0.06 | 13% | 20 Feb → | ||
| 4–13 | 0.02 | 20% | 16 Feb → | ||
| 8–13 | -0.02 | 14% | 7 Feb → | ||
| 13–9 | -0.00 | 18% | 1 Feb → | ||
| 10–13 | -0.02 | 16% | 1 Feb → | ||
| 5–13 | -0.07 | 21% | 1 Feb → | ||
| 16–12 | 0.00 | 8% | 31 Jan → | ||
| 13–7 | 0.01 | 15% | 30 Jan → | ||
| 13–4 | 0.15 | 12% | 15 Jan → | ||
| 9–13 | 0.01 | 19% | 14 Jan → | ||
| 11–13 | -0.03 | 14% | 14 Jan → | ||
| 8–13 | 0.02 | 11% | 11 Jan → | ||
| 13–9 | 0.01 | 17% | 31 Dec → | ||
| 14–16 | -0.05 | 15% | 22 Dec → | ||
| 13–8 | -0.02 | 8% | 21 Dec → | ||
| 13–10 | 0.02 | 11% | 21 Dec → |
Match data via Leetify.