WT_- — CS2 Stats
76561197987374183[U:1:27108455]
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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: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashes
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 89% playstyle similarity
Most alike: opening-duel success, 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
Flashes. 0.75 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 51% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 574ms 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 23 | 11–12 | 48% | 0.00 | |
| S | 21 | 14–7 | 67% | 0.01 | |
| C | 14 | 6–8 | 43% | 0.02 | |
| S | 13 | 10–3 | 77% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.00 | |
| D | 10 | 2–8 | 20% | 0.00 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| — | 4 | 2–2 | 50% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 244 | 51% | 1.01 | 15.3 |
| Ancient | 133 | 41% | 0.98 | 15.5 |
| Inferno | 113 | 57% | 1.05 | 15.1 |
| Anubis | 108 | 49% | 1.01 | 15.8 |
| Dust2 | 100 | 52% | 0.99 | 15.3 |
| Vertigo | 58 | 52% | 1.05 | 16.0 |
| Nuke | 43 | 40% | 0.98 | 15.3 |
| Overpass | 22 | 68% | 1.18 | 16.7 |
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 24.549% — 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.
20% 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 | 0.00 | 17% | 19 Aug → | ||
| 23–25 | -0.00 | 17% | 18 Aug → | ||
| 11–13 | -0.06 | 11% | 18 Aug → | ||
| 8–13 | 0.03 | 16% | 17 Aug → | ||
| 13–2 | 0.08 | 22% | 16 Aug → | ||
| 13–11 | -0.01 | 15% | 14 Aug → | ||
| 13–4 | 0.03 | 14% | 13 Aug → | ||
| 13–9 | 0.05 | 16% | 12 Aug → | ||
| 16–14 | 0.03 | 13% | 12 Aug → | ||
| 13–11 | 0.03 | 15% | 11 Aug → | ||
| 13–9 | 0.10 | 19% | 11 Aug → | ||
| 10–13 | 0.02 | 22% | 10 Aug → | ||
| 13–5 | 0.09 | 19% | 10 Aug → | ||
| 13–16 | -0.07 | 16% | 10 Aug → | ||
| 13–10 | 0.02 | 27% | 10 Aug → | ||
| 13–3 | 0.03 | 20% | 9 Aug → | ||
| 14–16 | -0.03 | 16% | 9 Aug → | ||
| 9–13 | -0.09 | 2% | 9 Aug → | ||
| 5–13 | -0.03 | 19% | 9 Aug → | ||
| 7–13 | -0.05 | 26% | 8 Aug → | ||
| 13–0 | 0.00 | 24% | 8 Aug → | ||
| 13–4 | 0.09 | 24% | 8 Aug → | ||
| 13–1 | 0.03 | 16% | 7 Aug → | ||
| 7–13 | -0.03 | 26% | 7 Aug → | ||
| 13–11 | -0.04 | 24% | 7 Aug → | ||
| 13–6 | -0.05 | 14% | 6 Aug → | ||
| 13–4 | 0.06 | 15% | 6 Aug → | ||
| 5–13 | -0.05 | 9% | 6 Aug → | ||
| 13–8 | 0.00 | 17% | 6 Aug → | ||
| 3–13 | -0.08 | 28% | 6 Aug → | ||
| 11–13 | -0.06 | 18% | 4 Aug → | ||
| 7–13 | -0.01 | 9% | 4 Aug → | ||
| 13–7 | -0.09 | 17% | 3 Aug → | ||
| 13–16 | 0.05 | 18% | 1 Aug → | ||
| 2–13 | -0.04 | 10% | 1 Aug → | ||
| 13–9 | 0.01 | 29% | 1 Aug → | ||
| 10–13 | 0.03 | 21% | 30 Jul → | ||
| 13–9 | -0.09 | 22% | 30 Jul → | ||
| 15–15 | 0.03 | 18% | 30 Jul → | ||
| 14–16 | 0.05 | 15% | 29 Jul → | ||
| 13–8 | -0.03 | 16% | 29 Jul → | ||
| 13–10 | -0.00 | 13% | 29 Jul → | ||
| 13–7 | 0.06 | 14% | 29 Jul → | ||
| 13–8 | 0.04 | 14% | 18 Jul → | ||
| 6–13 | -0.01 | 18% | 18 Jul → | ||
| 4–13 | -0.05 | 17% | 16 Jul → | ||
| 13–16 | 0.02 | 11% | 14 Jul → | ||
| 7–13 | -0.00 | 23% | 11 Jul → | ||
| 6–13 | -0.02 | 10% | 10 Jul → | ||
| 16–13 | 0.00 | 10% | 7 Jul → | ||
| 11–13 | -0.00 | 9% | 6 Jul → | ||
| 8–13 | 0.04 | 24% | 6 Jul → | ||
| 14–16 | 0.05 | 16% | 5 Jul → | ||
| 13–11 | -0.01 | 6% | 5 Jul → | ||
| 13–3 | 0.06 | 18% | 5 Jul → | ||
| 7–13 | 0.09 | 14% | 5 Jul → | ||
| 7–13 | -0.01 | 20% | 5 Jul → | ||
| 13–5 | 0.04 | 17% | 5 Jul → | ||
| 10–13 | -0.02 | 15% | 4 Jul → | ||
| 13–10 | 0.03 | 19% | 4 Jul → | ||
| 13–4 | 0.10 | 22% | 4 Jul → | ||
| 16–13 | -0.03 | 9% | 4 Jul → | ||
| 10–13 | -0.02 | 13% | 4 Jul → | ||
| 11–13 | 0.09 | 21% | 4 Jul → | ||
| 9–13 | -0.00 | 26% | 4 Jul → | ||
| 13–3 | 0.01 | 14% | 3 Jul → | ||
| 13–3 | 0.01 | 19% | 3 Jul → | ||
| 13–11 | 0.04 | 15% | 3 Jul → | ||
| 11–13 | 0.00 | 0% | 3 Jul → | ||
| 13–16 | 0.01 | 10% | 30 Jun → | ||
| 13–1 | 0.05 | 16% | 30 Jun → | ||
| 13–8 | 0.01 | 16% | 30 Jun → | ||
| 4–13 | -0.02 | 25% | 30 Jun → | ||
| 13–8 | 0.05 | 20% | 11 Jun → | ||
| 13–10 | -0.02 | 14% | 11 Jun → | ||
| 13–11 | 0.02 | 20% | 11 Jun → | ||
| 13–7 | -0.02 | 21% | 10 Jun → | ||
| 15–15 | -0.01 | 16% | 10 Jun → | ||
| 13–8 | -0.01 | 15% | 9 Jun → | ||
| 3–13 | 0.03 | 20% | 9 Jun → | ||
| 13–8 | 0.00 | 19% | 7 Jun → | ||
| 13–7 | 0.05 | 19% | 7 Jun → | ||
| 13–9 | 0.04 | 35% | 7 Jun → | ||
| 4–13 | 0.02 | 22% | 5 Jun → | ||
| 6–13 | -0.06 | 8% | 29 May → | ||
| 16–13 | 0.03 | 22% | 28 May → | ||
| 7–13 | -0.03 | 27% | 28 May → | ||
| 15–15 | -0.02 | 14% | 28 May → | ||
| 15–15 | -0.02 | 10% | 26 May → | ||
| 6–13 | -0.00 | 14% | 26 May → | ||
| 13–8 | -0.02 | 16% | 26 May → | ||
| 9–13 | -0.02 | 11% | 25 May → | ||
| 13–0 | 0.04 | 20% | 25 May → | ||
| 7–13 | -0.06 | 11% | 25 May → | ||
| 13–8 | 0.02 | 25% | 23 May → | ||
| 13–3 | 0.09 | 23% | 23 May → | ||
| 14–16 | -0.02 | 15% | 23 May → | ||
| 13–11 | 0.02 | 24% | 20 May → | ||
| 13–8 | -0.01 | 13% | 20 May → | ||
| 13–2 | 0.15 | 33% | 20 May → |
Match data via Leetify.