WHAT THE FUCK WAS THAT!!! — CS2 Stats
DE76561198080660875[U:1:120395147]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingStrong 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 jL 94% playstyle similarity
Most alike: opening-duel success, 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 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 650ms 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 6.8/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 26 | 12–14 | 46% | 0.03 |
 cache | B | 19 | 9–10 | 47% | 0.02 |
 mirage | C | 8 | 3–5 | 38% | 0.03 |
 inferno | C | 7 | 3–4 | 43% | 0.02 |
 anubis | D | 6 | 2–4 | 33% | 0.02 |
| office | B | 6 | 3–3 | 50% | 0.04 |
 overpass | D | 6 | 1–5 | 17% | 0.03 |
 ancient | S | 6 | 4–2 | 67% | 0.03 |
 nuke | C | 5 | 2–3 | 40% | 0.01 |
 train | — | 3 | 1–2 | 33% | -0.00 |
 vertigo | — | 3 | 2–1 | 67% | 0.05 |
| italy | — | 3 | 2–1 | 67% | 0.07 |
| shelter | — | 1 | 1–0 | 100% | -0.08 |
| boulder | — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
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 37.1112% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 11–13 | -0.03 | 23% | 23 Jul → | |
| dust2 | 8–13 | 0.01 | 26% | 21 Jul → | |
| dust2 | 11–13 | -0.01 | 30% | 17 Jul → | |
| cache | 13–4 | 0.05 | 25% | 17 Jul → | |
| cache | 5–13 | 0.04 | 25% | 16 Jul → | |
| mirage | 12–12 | 0.03 | 19% | 16 Jul → | |
| shelter | 13–9 | -0.08 | 15% | 11 Jul → | |
| boulder | 13–5 | 0.08 | 26% | 11 Jul → | |
| cache | 5–13 | 0.07 | 34% | 8 Jul → | |
| train | 12–12 | 0.08 | 11% | 8 Jul → | |
| office | 9–4 | 0.01 | 12% | 8 Jul → | |
| dust2 | 11–13 | -0.01 | 18% | 8 Jul → | |
| office | 9–13 | 0.02 | 10% | 8 Jul → | |
| nuke | 13–11 | 0.02 | 19% | 7 Jul → | |
| cache | 4–13 | -0.05 | 23% | 7 Jul → | |
| dust2 | 13–3 | 0.07 | 13% | 7 Jul → | |
| mirage | 12–12 | 0.03 | 12% | 25 Jun → | |
| dust2 | 8–13 | -0.01 | 23% | 24 Jun → | |
| overpass | 12–12 | -0.01 | 20% | 21 Jun → | |
| ancient | 9–13 | -0.01 | 17% | 21 Jun → | |
| dust2 | 10–13 | -0.01 | 14% | 18 Jun → | |
| inferno | 13–10 | 0.08 | 28% | 18 Jun → | |
| dust2 | 13–11 | 0.04 | 29% | 16 Jun → | |
| ancient | 13–9 | -0.02 | 27% | 15 Jun → | |
| ancient | 7–13 | -0.02 | 10% | 12 Jun → | |
| dust2 | 13–4 | 0.09 | 33% | 12 Jun → | |
| dust2 | 9–13 | 0.08 | 22% | 10 Jun → | |
| vertigo | 12–12 | -0.02 | 32% | 8 Jun → | |
| office | 5–13 | 0.08 | 16% | 8 Jun → | |
| vertigo | 13–11 | 0.08 | 18% | 4 Jun → | |
| dust2 | 13–2 | 0.03 | 17% | 4 Jun → | |
| nuke | 10–13 | 0.04 | 27% | 3 Jun → | |
| dust2 | 8–13 | -0.03 | 27% | 3 Jun → | |
| anubis | 13–2 | -0.01 | 32% | 1 Jun → | |
| office | 10–13 | 0.03 | 25% | 1 Jun → | |
| italy | 13–3 | 0.02 | 29% | 1 Jun → | |
| dust2 | 4–13 | -0.05 | 20% | 1 Jun → | |
| overpass | 4–13 | -0.03 | 29% | 31 May → | |
| dust2 | 7–13 | 0.03 | 35% | 31 May → | |
| cache | 8–13 | -0.07 | 26% | 31 May → | |
| inferno | 5–13 | 0.10 | 17% | 29 May → | |
| ancient | 6–0 | 0.21 | 42% | 29 May → | |
| anubis | 12–12 | 0.07 | 22% | 28 May → | |
| anubis | 1–13 | -0.01 | 19% | 28 May → | |
| cache | 7–13 | -0.06 | 29% | 27 May → | |
| italy | 13–4 | 0.14 | 26% | 27 May → | |
| anubis | 13–7 | 0.09 | 16% | 27 May → | |
| office | 13–7 | 0.02 | 38% | 26 May → | |
| nuke | 11–13 | -0.02 | 33% | 26 May → | |
| dust2 | 13–7 | 0.08 | 28% | 26 May → | |
| overpass | 2–13 | 0.03 | 8% | 25 May → | |
| mirage | 8–13 | -0.05 | 9% | 25 May → | |
| vertigo | 13–7 | 0.10 | 27% | 25 May → | |
| cache | 13–11 | 0.04 | 27% | 25 May → | |
| mirage | 8–13 | -0.03 | 15% | 22 May → | |
| dust2 | 13–11 | -0.04 | 31% | 21 May → | |
| dust2 | 13–4 | 0.03 | 23% | 20 May → | |
| cache | 13–9 | 0.10 | 44% | 20 May → | |
| dust2 | 13–6 | 0.05 | 30% | 20 May → | |
| dust2 | 12–12 | 0.05 | 24% | 16 May → | |
| inferno | 13–10 | -0.04 | 10% | 15 May → | |
| dust2 | 13–5 | 0.04 | 34% | 15 May → | |
| office | 13–10 | 0.08 | 22% | 15 May → | |
| inferno | 13–10 | -0.04 | 13% | 14 May → | |
| overpass | 8–13 | -0.00 | 13% | 14 May → | |
| cache | 13–10 | 0.02 | 27% | 14 May → | |
| inferno | 2–13 | -0.03 | 21% | 12 May → | |
| mirage | 13–3 | -0.03 | 21% | 12 May → | |
| dust2 | 9–13 | 0.03 | 23% | 12 May → | |
| cache | 13–3 | -0.02 | 18% | 11 May → | |
| dust2 | 13–7 | 0.03 | 36% | 11 May → | |
| mirage | 13–11 | 0.10 | 27% | 8 May → | |
| cache | 12–12 | -0.03 | 21% | 7 May → | |
| mirage | 9–13 | 0.13 | 20% | 6 May → | |
| dust2 | 13–8 | 0.00 | 29% | 6 May → | |
| cache | 13–8 | 0.09 | 21% | 6 May → | |
| ancient | 13–1 | 0.05 | 36% | 5 May → | |
| inferno | 3–13 | 0.07 | 39% | 5 May → | |
| anubis | 9–13 | -0.02 | 24% | 5 May → | |
| cache | 13–5 | 0.04 | 29% | 4 May → | |
| dust2 | 13–5 | 0.13 | 26% | 4 May → | |
| nuke | 12–12 | -0.00 | 21% | 4 May → | |
| cache | 14–16 | 0.03 | 34% | 3 May → | |
| overpass | 4–13 | 0.02 | 18% | 2 May → | |
| cache | 10–13 | 0.01 | 27% | 30 Apr → | |
| ancient | 13–7 | 0.00 | 35% | 30 Apr → | |
| nuke | 13–11 | -0.01 | 20% | 30 Apr → | |
| cache | 13–7 | -0.02 | 22% | 30 Apr → | |
| cache | 11–13 | 0.01 | 22% | 29 Apr → | |
| inferno | 12–12 | 0.03 | 19% | 29 Apr → | |
| cache | 13–9 | 0.12 | 14% | 29 Apr → | |
| cache | 10–13 | -0.02 | 15% | 29 Apr → | |
| italy | 8–13 | 0.04 | 22% | 28 Apr → | |
| train | 5–13 | -0.03 | 25% | 28 Apr → | |
| dust2 | 3–13 | -0.01 | 23% | 26 Apr → | |
| mirage | 13–6 | 0.07 | 34% | 26 Apr → | |
| train | 13–7 | -0.06 | 20% | 26 Apr → | |
| overpass | 13–11 | 0.16 | 28% | 26 Apr → | |
| dust2 | 10–13 | 0.04 | 18% | 26 Apr → | |
| dust2 | 12–12 | 0.04 | 25% | 24 Apr → |
Match data via Leetify.