unreasonable backscratcher — CS2 Stats
US76561198854238539[U:1:893972811]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 m0NESY 93% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Strengths
Aim. Aim score of 96 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
T openings. 64% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 628ms 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 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 25 | 13–12 | 52% | 0.07 |
 mirage | C | 22 | 9–13 | 41% | 0.06 |
 cache | A | 15 | 9–6 | 60% | 0.04 |
 inferno | C | 10 | 4–6 | 40% | 0.06 |
| office | S | 6 | 5–1 | 83% | 0.08 |
 nuke | S | 5 | 5–0 | 100% | 0.09 |
 ancient | A | 5 | 3–2 | 60% | 0.07 |
 overpass | A | 5 | 3–2 | 60% | 0.06 |
 vertigo | — | 3 | 2–1 | 67% | 0.13 |
 train | — | 3 | 2–1 | 67% | 0.08 |
 anubis | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 28 | 71% | 1.85 | 22.8 |
| Dust2 | 24 | 71% | 1.69 | 21.5 |
| Cache | 10 | 60% | 1.66 | 27.6 |
| Anubis | 5 | 40% | 1.64 | 20.4 |
| Inferno | 5 | 20% | 2.07 | 19.0 |
| Ancient | 4 | 75% | 1.47 | 20.0 |
| Nuke | 3 | 67% | 1.72 | 22.3 |
| Vertigo | 1 | 100% | 1.38 | 22.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–8 | 0.05 | 36% | 27 Aug → | |
| dust2 | 13–5 | 0.06 | 61% | 19 Aug → | |
| nuke | 13–5 | 0.08 | 50% | 19 Aug → | |
| ancient | 13–5 | 0.02 | 37% | 19 Aug → | |
| cache | 28–25 | 0.08 | 37% | 19 Aug → | |
| dust2 | 12–16 | 0.04 | 21% | 19 Aug → | |
| dust2 | 13–6 | 0.06 | 46% | 14 Aug → | |
| mirage | 13–6 | -0.02 | 35% | 14 Aug → | |
| cache | 11–13 | -0.00 | 33% | 2 Aug → | |
| dust2 | 9–13 | -0.01 | 31% | 2 Aug → | |
| inferno | 13–4 | 0.03 | 43% | 25 Jul → | |
| anubis | 13–7 | 0.05 | 30% | 25 Jul → | |
| mirage | 13–2 | 0.10 | 58% | 22 Jul → | |
| dust2 | 8–13 | 0.02 | 38% | 21 Jul → | |
| mirage | 13–5 | 0.06 | 53% | 21 Jul → | |
| inferno | 13–7 | 0.15 | 39% | 21 Jul → | |
| mirage | 7–13 | -0.03 | 25% | 21 Jul → | |
| nuke | 13–6 | 0.07 | 38% | 11 Jul → | |
| mirage | 10–13 | 0.00 | 33% | 10 Jul → | |
| cache | 10–13 | 0.02 | 33% | 9 Jul → | |
| mirage | 7–0 | 0.09 | 48% | 9 Jul → | |
| mirage | 13–7 | 0.06 | 34% | 3 Jul → | |
| mirage | 11–13 | 0.02 | 35% | 23 Jun → | |
| dust2 | 13–4 | 0.14 | 50% | 23 Jun → | |
| overpass | 11–13 | 0.02 | 36% | 28 May → | |
| office | 13–7 | 0.10 | 72% | 28 May → | |
| dust2 | 8–13 | 0.04 | 35% | 28 May → | |
| dust2 | 8–13 | 0.06 | 48% | 28 May → | |
| nuke | 13–4 | 0.17 | 43% | 28 May → | |
| cache | 16–19 | 0.08 | 32% | 24 May → | |
| cache | 13–11 | 0.02 | 24% | 23 May → | |
| inferno | 12–16 | 0.01 | 29% | 19 May → | |
| cache | 13–8 | 0.06 | 28% | 19 May → | |
| mirage | 14–16 | 0.04 | 25% | 17 May → | |
| dust2 | 13–6 | 0.01 | 34% | 4 May → | |
| cache | 5–13 | -0.00 | 24% | 4 May → | |
| cache | 13–3 | -0.02 | 32% | 4 May → | |
| vertigo | 11–13 | 0.05 | 25% | 1 May → | |
| dust2 | 1–7 | -0.03 | 80% | 1 May → | |
| cache | 13–2 | 0.03 | 38% | 1 May → | |
| cache | 4–13 | 0.04 | 33% | 30 Apr → | |
| cache | 13–3 | 0.04 | 41% | 30 Apr → | |
| cache | 6–13 | 0.06 | 28% | 30 Apr → | |
| cache | 13–7 | 0.06 | 33% | 30 Apr → | |
| cache | 13–8 | 0.11 | 26% | 29 Apr → | |
| cache | 13–7 | 0.04 | 46% | 29 Apr → | |
| dust2 | 13–9 | 0.11 | 36% | 28 Apr → | |
| dust2 | 13–11 | 0.11 | 40% | 27 Apr → | |
| dust2 | 7–13 | 0.02 | 37% | 27 Apr → | |
| inferno | 3–13 | 0.09 | 29% | 27 Apr → | |
| inferno | 7–13 | -0.05 | 24% | 24 Apr → | |
| vertigo | 13–8 | 0.17 | 43% | 15 Apr → | |
| mirage | 6–13 | 0.17 | 44% | 15 Apr → | |
| dust2 | 5–13 | 0.08 | 41% | 15 Apr → | |
| dust2 | 8–13 | 0.02 | 33% | 9 Apr → | |
| mirage | 10–13 | 0.09 | 30% | 9 Apr → | |
| overpass | 7–13 | 0.11 | 23% | 9 Apr → | |
| dust2 | 11–13 | 0.06 | 29% | 8 Apr → | |
| ancient | 13–6 | 0.05 | 39% | 31 Mar → | |
| nuke | 13–10 | 0.06 | 44% | 31 Mar → | |
| dust2 | 13–8 | 0.23 | 30% | 31 Mar → | |
| inferno | 10–13 | 0.13 | 29% | 31 Mar → | |
| mirage | 13–9 | 0.04 | 30% | 31 Mar → | |
| train | 13–6 | 0.08 | 52% | 30 Mar → | |
| mirage | 10–13 | 0.04 | 29% | 27 Mar → | |
| mirage | 13–10 | 0.09 | 20% | 25 Mar → | |
| nuke | 13–7 | 0.10 | 43% | 19 Mar → | |
| inferno | 12–12 | 0.04 | 29% | 19 Mar → | |
| mirage | 12–12 | 0.08 | 21% | 18 Mar → | |
| mirage | 11–13 | 0.12 | 36% | 25 Feb → | |
| office | 13–5 | 0.13 | 50% | 25 Feb → | |
| train | 12–12 | 0.04 | 57% | 25 Feb → | |
| dust2 | 13–8 | 0.07 | 27% | 14 Feb → | |
| office | 9–13 | -0.01 | 33% | 20 Jan → | |
| dust2 | 8–3 | 0.03 | 50% | 20 Jan → | |
| mirage | 11–13 | 0.04 | 38% | 17 Jan → | |
| mirage | 13–5 | 0.11 | 26% | 17 Jan → | |
| mirage | 12–12 | 0.01 | 33% | 10 Jan → | |
| inferno | 13–9 | 0.09 | 36% | 7 Jan → | |
| dust2 | 11–13 | 0.13 | 43% | 7 Jan → | |
| overpass | 13–8 | 0.06 | 45% | 7 Jan → | |
| dust2 | 13–10 | 0.05 | 43% | 7 Jan → | |
| dust2 | 13–8 | 0.13 | 38% | 31 Dec → | |
| inferno | 10–13 | 0.07 | 28% | 31 Dec → | |
| office | 13–4 | 0.01 | 48% | 31 Dec → | |
| overpass | 13–4 | 0.04 | 44% | 29 Dec → | |
| inferno | 13–6 | 0.08 | 39% | 29 Dec → | |
| dust2 | 13–1 | 0.07 | 61% | 29 Dec → | |
| overpass | 13–10 | 0.04 | 29% | 29 Dec → | |
| ancient | 13–2 | 0.06 | 54% | 29 Dec → | |
| mirage | 13–11 | 0.12 | 45% | 29 Dec → | |
| mirage | 9–13 | 0.06 | 35% | 28 Dec → | |
| office | 13–2 | 0.15 | 49% | 28 Dec → | |
| dust2 | 12–12 | 0.09 | 44% | 20 Dec → | |
| vertigo | 13–6 | 0.16 | 42% | 20 Dec → | |
| ancient | 5–4 | 0.13 | 37% | 19 Dec → | |
| mirage | 12–12 | 0.03 | 36% | 19 Dec → | |
| ancient | 12–12 | 0.09 | 40% | 18 Dec → | |
| train | 13–7 | 0.13 | 35% | 18 Dec → | |
| office | 13–6 | 0.11 | 57% | 18 Dec → |
Match data via Leetify.
