wtf¿I?™ — CS2 Stats
76561197977951115[U:1:17685387]
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 Twistzz 82% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 659ms 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 5.1/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 30 | 11–19 | 37% | -0.02 | |
| B | 15 | 7–8 | 47% | -0.01 | |
| B | 15 | 7–8 | 47% | -0.01 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| C | 10 | 4–6 | 40% | -0.03 | |
| D | 6 | 0–6 | 0% | -0.05 | |
| D | 6 | 1–5 | 17% | -0.01 | |
| — | 2 | 2–0 | 100% | 0.04 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.02 | |
| italy | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 2 | 0% | 1.54 | 23.5 |
| Mirage | 1 | 100% | 2.80 | 14.0 |
| Anubis | 1 | 0% | 1.19 | 19.0 |
| Ancient | 1 | 0% | 0.44 | 7.0 |
| Vertigo | 1 | 0% | 1.67 | 25.0 |
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 30.8298% — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.02 | 26% | 28 Aug → | ||
| 11–13 | 0.00 | 24% | 28 Aug → | ||
| 8–13 | -0.04 | 25% | 23 Aug → | ||
| 13–9 | 0.08 | 23% | 23 Aug → | ||
| 15–15 | 0.03 | 17% | 10 Aug → | ||
| 10–13 | 0.04 | 24% | 10 Aug → | ||
| 9–13 | -0.05 | 18% | 10 Aug → | ||
| 15–15 | -0.03 | 20% | 10 Aug → | ||
| 13–6 | -0.00 | 29% | 10 Aug → | ||
| 13–10 | 0.01 | 14% | 3 Aug → | ||
| 4–13 | -0.03 | 20% | 3 Aug → | ||
| 11–13 | -0.03 | 15% | 3 Aug → | ||
| 15–15 | -0.02 | 21% | 3 Aug → | ||
| 13–10 | 0.04 | 17% | 3 Aug → | ||
| 4–13 | -0.11 | 17% | 3 Aug → | ||
| 10–13 | -0.05 | 22% | 27 Jun → | ||
| 13–5 | -0.05 | 6% | 27 Jun → | ||
| 11–13 | -0.01 | 20% | 27 Jun → | ||
| 13–16 | -0.03 | 13% | 11 Apr → | ||
| 11–13 | -0.05 | 22% | 11 Apr → | ||
| 13–10 | 0.02 | 19% | 6 Apr → | ||
| 6–13 | -0.05 | 25% | 6 Apr → | ||
| 7–13 | -0.02 | 20% | 2 Mar → | ||
| 13–6 | -0.10 | 12% | 2 Mar → | ||
| 10–13 | -0.10 | 10% | 2 Mar → | ||
| 13–2 | 0.04 | 11% | 2 Mar → | ||
| 13–9 | -0.04 | 20% | 1 Mar → | ||
| 13–7 | 0.01 | 22% | 1 Mar → | ||
| 13–7 | -0.02 | 24% | 1 Mar → | ||
| 13–9 | -0.02 | 21% | 1 Mar → | ||
| 11–13 | -0.05 | 26% | 26 Feb → | ||
| 8–13 | 0.01 | 15% | 26 Feb → | ||
| 10–13 | -0.05 | 14% | 26 Feb → | ||
| 2–13 | -0.09 | 14% | 26 Feb → | ||
| 13–8 | 0.01 | 26% | 17 Feb → | ||
| 13–5 | 0.01 | 26% | 17 Feb → | ||
| 11–13 | -0.12 | 4% | 17 Feb → | ||
| 13–3 | -0.07 | 24% | 17 Feb → | ||
| 13–11 | -0.04 | 2% | 17 Feb → | ||
| 5–10 | 0.08 | 15% | 17 Feb → | ||
| 8–13 | -0.04 | 30% | 4 Nov → | ||
| 12–16 | -0.02 | 26% | 4 Nov → | ||
| 7–13 | 0.04 | 15% | 4 Nov → | ||
| 8–8 | -0.03 | 16% | 29 Oct → | ||
| 5–9 | -0.11 | 9% | 29 Oct → | ||
| 3–9 | -0.03 | 10% | 29 Oct → | ||
| 16–13 | -0.02 | 22% | 25 Oct → | ||
| 11–13 | -0.01 | 18% | 25 Oct → | ||
| 6–13 | -0.05 | 24% | 25 Oct → | ||
| 6–13 | -0.04 | 14% | 25 Oct → | ||
| 16–14 | -0.04 | 12% | 25 Oct → | ||
| 13–7 | -0.04 | 20% | 24 Oct → | ||
| 4–13 | -0.05 | 16% | 24 Oct → | ||
| 13–5 | -0.05 | 30% | 24 Oct → | ||
| 9–13 | -0.03 | 18% | 24 Oct → | ||
| 8–13 | -0.05 | 18% | 22 Oct → | ||
| 13–7 | 0.06 | 17% | 22 Oct → | ||
| 10–13 | -0.00 | 33% | 22 Oct → | ||
| 8–13 | -0.06 | 7% | 22 Oct → | ||
| 3–9 | -0.07 | 21% | 22 Oct → | ||
| 13–9 | 0.02 | 16% | 22 Oct → | ||
| 9–13 | -0.03 | 22% | 18 Oct → | ||
| 13–1 | 0.07 | 20% | 18 Oct → | ||
| 13–7 | -0.01 | 15% | 18 Oct → | ||
| 6–13 | -0.07 | 27% | 18 Oct → | ||
| 13–6 | 0.15 | 20% | 18 Oct → | ||
| 13–3 | 0.01 | 24% | 9 Sept → | ||
| 13–16 | 0.04 | 30% | 9 Sept → | ||
| 8–13 | -0.03 | 21% | 9 Sept → | ||
| 11–13 | -0.06 | 17% | 2 Sept → | ||
| 13–4 | 0.02 | 18% | 2 Sept → | ||
| 13–7 | 0.03 | 33% | 2 Sept → | ||
| 9–13 | -0.01 | 24% | 2 Sept → | ||
| 13–9 | 0.03 | 16% | 2 Sept → | ||
| 10–13 | -0.13 | 21% | 2 Sept → | ||
| 15–15 | 0.02 | 21% | 2 Sept → | ||
| 13–8 | 0.00 | 21% | 19 Jul → | ||
| 11–13 | -0.04 | 13% | 19 Jul → | ||
| 13–7 | 0.07 | 11% | 19 Jul → | ||
| 13–9 | 0.07 | 27% | 18 Jul → | ||
| 11–13 | -0.03 | 18% | 18 Jul → | ||
| 6–13 | -0.03 | 25% | 18 Jul → | ||
| 13–9 | 0.03 | 18% | 18 Jul → | ||
| 5–13 | -0.03 | 12% | 18 Jul → | ||
| 13–6 | -0.00 | 16% | 18 Jul → | ||
| 13–6 | 0.03 | 12% | 18 Jul → | ||
| italy | 6–13 | -0.06 | 11% | 15 Jul → | |
| 11–13 | 0.02 | 23% | 15 Jul → | ||
| 7–13 | -0.01 | 22% | 15 Jul → | ||
| 10–13 | 0.01 | 18% | 15 Jul → | ||
| 5–13 | -0.00 | 30% | 15 Jul → | ||
| 13–6 | 0.02 | 27% | 14 Jul → | ||
| 3–13 | -0.04 | 14% | 14 Jul → | ||
| 8–13 | -0.07 | 12% | 12 Jul → | ||
| 7–13 | 0.03 | 24% | 12 Jul → | ||
| 13–11 | -0.02 | 21% | 12 Jul → | ||
| 13–6 | 0.02 | 24% | 12 Jul → | ||
| 13–10 | -0.02 | 17% | 12 Jul → | ||
| 3–13 | -0.12 | 13% | 12 Jul → | ||
| 9–13 | -0.02 | 17% | 12 Jul → |
Match data via Leetify.