Twisted — CS2 Stats
US76561198097306617[U:1:137040889]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Excellent counter-strafing
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 92% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 642ms 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 7.4/10 (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 |
|---|---|---|---|---|---|
| C | 18 | 8–10 | 44% | 0.01 | |
| C | 17 | 7–10 | 41% | 0.01 | |
| A | 17 | 10–7 | 59% | 0.04 | |
| B | 15 | 8–7 | 53% | 0.02 | |
| D | 12 | 2–10 | 17% | -0.01 | |
| C | 11 | 4–7 | 36% | 0.00 | |
| D | 9 | 2–7 | 22% | -0.00 | |
| — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 8 | 50% | 1.27 | 24.4 |
| Inferno | 8 | 75% | 1.76 | 22.8 |
| Ancient | 6 | 17% | 1.05 | 17.0 |
| Cache | 5 | 20% | 1.21 | 20.4 |
| Nuke | 4 | 75% | 1.33 | 17.0 |
| Vertigo | 3 | 67% | 0.99 | 17.7 |
| Anubis | 2 | 0% | 0.84 | 14.5 |
| Dust2 | 1 | 0% | 0.65 | 11.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4835 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–9 | -0.05 | 24% | 27 Aug → | ||
| 9–2 | 0.08 | 41% | 27 Aug → | ||
| 13–7 | -0.00 | 11% | 26 Aug → | ||
| 7–13 | 0.05 | 22% | 22 Aug → | ||
| 2–13 | -0.03 | 15% | 20 Aug → | ||
| 13–10 | 0.03 | 19% | 20 Aug → | ||
| 13–7 | 0.01 | 18% | 20 Aug → | ||
| 13–4 | 0.07 | 19% | 20 Aug → | ||
| 13–5 | 0.09 | 8% | 20 Aug → | ||
| 3–9 | -0.13 | 15% | 20 Aug → | ||
| 6–13 | -0.02 | 18% | 19 Aug → | ||
| 5–13 | -0.00 | 13% | 19 Aug → | ||
| 10–13 | 0.07 | 26% | 19 Aug → | ||
| 13–3 | 0.01 | 22% | 19 Aug → | ||
| 6–13 | -0.03 | 19% | 18 Aug → | ||
| 17–19 | 0.03 | 27% | 18 Aug → | ||
| 9–13 | -0.01 | 26% | 18 Aug → | ||
| 13–5 | 0.06 | 23% | 18 Aug → | ||
| 19–17 | 0.08 | 26% | 18 Aug → | ||
| 13–8 | -0.03 | 15% | 18 Aug → | ||
| 11–13 | 0.00 | 21% | 16 Aug → | ||
| 13–11 | 0.06 | 30% | 16 Aug → | ||
| 13–10 | 0.07 | 18% | 16 Aug → | ||
| 15–15 | 0.06 | 24% | 16 Aug → | ||
| 16–13 | 0.01 | 27% | 15 Aug → | ||
| 11–13 | -0.07 | 23% | 15 Aug → | ||
| 4–12 | -0.06 | 43% | 15 Aug → | ||
| 16–14 | 0.05 | 16% | 15 Aug → | ||
| 8–13 | 0.06 | 17% | 15 Aug → | ||
| 15–15 | -0.02 | 16% | 15 Aug → | ||
| 15–15 | 0.02 | 19% | 15 Aug → | ||
| 16–14 | 0.17 | 28% | 14 Aug → | ||
| 13–2 | 0.25 | 24% | 14 Aug → | ||
| 11–13 | 0.13 | 21% | 12 Aug → | ||
| 13–8 | 0.05 | 24% | 12 Aug → | ||
| 13–3 | 0.04 | 16% | 12 Aug → | ||
| 8–13 | 0.06 | 15% | 11 Aug → | ||
| 5–13 | 0.02 | 16% | 11 Aug → | ||
| 15–15 | -0.03 | 18% | 10 Aug → | ||
| 10–13 | 0.05 | 18% | 9 Aug → | ||
| 6–13 | -0.01 | 27% | 9 Aug → | ||
| 13–2 | 0.11 | 17% | 9 Aug → | ||
| 15–15 | 0.02 | 16% | 9 Aug → | ||
| 9–13 | -0.04 | 17% | 9 Aug → | ||
| 10–13 | 0.06 | 17% | 7 Aug → | ||
| 6–13 | -0.02 | 23% | 7 Aug → | ||
| 16–13 | 0.05 | 16% | 7 Aug → | ||
| 2–13 | -0.04 | 19% | 7 Aug → | ||
| 7–13 | -0.05 | 18% | 7 Aug → | ||
| 13–3 | 0.08 | 29% | 7 Aug → | ||
| 13–11 | 0.00 | 27% | 7 Aug → | ||
| 15–15 | -0.05 | 17% | 6 Aug → | ||
| 13–9 | -0.04 | 21% | 6 Aug → | ||
| 1–13 | 0.03 | 21% | 6 Aug → | ||
| 13–8 | 0.07 | 25% | 6 Aug → | ||
| 9–13 | -0.02 | 16% | 6 Aug → | ||
| 6–13 | -0.02 | 28% | 5 Aug → | ||
| 6–13 | -0.07 | 23% | 4 Aug → | ||
| 9–13 | -0.01 | 30% | 4 Aug → | ||
| 13–10 | 0.04 | 29% | 4 Aug → | ||
| 11–13 | 0.03 | 12% | 3 Aug → | ||
| 10–13 | -0.04 | 30% | 3 Aug → | ||
| 7–13 | -0.00 | 26% | 28 Jul → | ||
| 9–13 | -0.04 | 21% | 28 Jul → | ||
| 2–13 | -0.02 | 26% | 28 Jul → | ||
| 9–13 | 0.02 | 28% | 28 Jul → | ||
| 13–10 | 0.00 | 27% | 27 Jul → | ||
| 6–13 | -0.04 | 22% | 26 Jul → | ||
| 13–8 | -0.03 | 21% | 26 Jul → | ||
| 16–14 | 0.03 | 18% | 26 Jul → | ||
| 13–9 | -0.02 | 8% | 26 Jul → | ||
| 5–13 | 0.10 | 24% | 26 Jul → | ||
| 13–4 | 0.07 | 40% | 26 Jul → | ||
| 11–13 | -0.04 | 11% | 25 Jul → | ||
| 7–13 | -0.02 | 19% | 24 Jul → | ||
| 7–13 | -0.05 | 26% | 24 Jul → | ||
| 8–13 | 0.01 | 23% | 24 Jul → | ||
| 13–11 | 0.01 | 18% | 24 Jul → | ||
| 4–13 | -0.02 | 21% | 24 Jul → | ||
| 16–14 | 0.02 | 13% | 23 Jul → | ||
| 13–9 | 0.01 | 19% | 22 Jul → | ||
| 10–13 | -0.02 | 13% | 22 Jul → | ||
| 6–13 | -0.06 | 21% | 22 Jul → | ||
| 10–13 | -0.06 | 19% | 22 Jul → | ||
| 9–13 | -0.06 | 34% | 22 Jul → | ||
| 2–13 | -0.06 | 19% | 21 Jul → | ||
| 5–13 | 0.01 | 27% | 21 Jul → | ||
| 7–13 | 0.01 | 21% | 20 Jul → | ||
| 13–11 | 0.01 | 21% | 19 Jul → | ||
| 13–10 | 0.02 | 23% | 19 Jul → | ||
| 13–9 | 0.01 | 20% | 18 Jul → | ||
| 14–16 | -0.02 | 27% | 18 Jul → | ||
| 13–9 | 0.04 | 17% | 18 Jul → | ||
| 13–3 | 0.06 | 21% | 15 Jul → | ||
| 13–9 | 0.04 | 22% | 5 Jun → | ||
| 13–9 | 0.01 | 16% | 4 Jun → | ||
| 16–14 | -0.00 | 25% | 18 Apr → | ||
| 7–13 | -0.02 | 20% | 18 Apr → | ||
| 13–8 | 0.02 | 25% | 20 Mar → | ||
| 4–13 | -0.00 | 36% | 20 Mar → |
Match data via Leetify.