sofa — CS2 Stats
76561199504732781[U:1:1544467053]✓ No bans
How this compares with the same rank
Median values for Grey band among CSDB-tracked players (n=369), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Grey band median | Light Blue band median | vs Light Blue band |
|---|---|---|---|---|
| Headshot rate | 40.6% | 37.5% | 39.7% | above |
| Shot accuracy | 1.5% | 4.5% | 6.7% | 5.2% short |
| Kill/death ratio | 0.53 | 0.82 | 0.91 | 0.37 short |
| Match win rate | 44.6% | 39.1% | 42.1% | above |
This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.01 avg rating
Player DNA
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 65% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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
Areas to improve
Reaction time. 653ms 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 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 cache | C | 25 | 11–14 | 44% | -0.05 |
| office | A | 15 | 9–6 | 60% | -0.04 |
 dust2 | C | 12 | 5–7 | 42% | -0.03 |
 vertigo | C | 11 | 4–7 | 36% | -0.04 |
 inferno | S | 7 | 5–2 | 71% | -0.03 |
 train | S | 6 | 4–2 | 67% | -0.05 |
 nuke | S | 6 | 4–2 | 67% | -0.04 |
 mirage | D | 5 | 0–5 | 0% | -0.09 |
| warden | — | 3 | 2–1 | 67% | -0.05 |
 ancient | — | 3 | 0–3 | 0% | -0.06 |
| fachwerk | — | 2 | 0–2 | 0% | -0.08 |
 anubis | — | 2 | 2–0 | 100% | -0.02 |
| italy | — | 1 | 0–1 | 0% | -0.06 |
| boulder | — | 1 | 1–0 | 100% | -0.01 |
| shelter | — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 0% | 0.56 | 10.5 |
| Dust2 | 1 | 100% | 0.85 | 23.0 |
| Anubis | 1 | 100% | 0.85 | 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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.8333% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.782 — below the 4 mark we flag
- 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 18.3305% — 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| italy | 12–12 | -0.06 | 11% | 30 Aug → | |
| mirage | 8–13 | -0.12 | 14% | 30 Aug → | |
| dust2 | 9–13 | -0.02 | 7% | 24 Aug → | |
| office | 11–6 | -0.03 | 13% | 24 Aug → | |
| train | 8–13 | -0.07 | 18% | 24 Aug → | |
| fachwerk | 6–13 | -0.06 | 2% | 23 Aug → | |
| office | 13–3 | 0.03 | 3% | 21 Aug → | |
| vertigo | 7–13 | -0.10 | 6% | 21 Aug → | |
| nuke | 8–13 | -0.05 | 7% | 12 Aug → | |
| inferno | 9–13 | -0.02 | 17% | 12 Aug → | |
| office | 13–10 | -0.08 | 3% | 9 Aug → | |
| dust2 | 13–2 | -0.01 | 7% | 9 Aug → | |
| vertigo | 13–4 | -0.05 | 7% | 9 Aug → | |
| nuke | 13–9 | -0.01 | 8% | 8 Aug → | |
| office | 11–13 | -0.04 | 3% | 8 Aug → | |
| anubis | 13–6 | 0.01 | 14% | 7 Aug → | |
| cache | 6–13 | -0.05 | 10% | 5 Aug → | |
| dust2 | 9–13 | -0.03 | 8% | 5 Aug → | |
| boulder | 13–5 | -0.01 | 9% | 10 Jul → | |
| fachwerk | 2–13 | -0.10 | 13% | 10 Jul → | |
| shelter | 7–13 | -0.10 | 10% | 9 Jul → | |
| train | 13–9 | -0.02 | 8% | 3 Jul → | |
| nuke | 13–3 | 0.03 | 14% | 3 Jul → | |
| office | 6–13 | -0.05 | 7% | 3 Jul → | |
| inferno | 10–13 | -0.07 | 21% | 2 Jul → | |
| train | 13–9 | -0.07 | 2% | 2 Jul → | |
| dust2 | 13–6 | 0.04 | 20% | 1 Jul → | |
| warden | 7–13 | -0.07 | 19% | 1 Jul → | |
| cache | 13–6 | -0.01 | 10% | 1 Jul → | |
| inferno | 13–11 | -0.09 | 6% | 29 Jun → | |
| dust2 | 5–13 | -0.06 | 19% | 29 Jun → | |
| office | 9–13 | 0.02 | 5% | 25 Jun → | |
| mirage | 6–13 | -0.07 | 3% | 25 Jun → | |
| inferno | 13–9 | -0.02 | 6% | 24 Jun → | |
| nuke | 6–4 | -0.09 | 11% | 24 Jun → | |
| dust2 | 5–13 | -0.05 | 18% | 24 Jun → | |
| inferno | 13–4 | -0.01 | 13% | 24 Jun → | |
| dust2 | 12–12 | -0.12 | 10% | 23 Jun → | |
| cache | 13–4 | -0.00 | 14% | 23 Jun → | |
| train | 13–10 | 0.04 | 8% | 22 Jun → | |
| cache | 13–1 | -0.01 | 11% | 22 Jun → | |
| dust2 | 12–12 | -0.01 | 13% | 22 Jun → | |
| inferno | 13–7 | 0.03 | 17% | 19 Jun → | |
| vertigo | 12–12 | -0.07 | 6% | 19 Jun → | |
| ancient | 5–13 | -0.09 | 9% | 18 Jun → | |
| dust2 | 13–4 | 0.00 | 3% | 18 Jun → | |
| cache | 6–13 | -0.11 | 5% | 17 Jun → | |
| mirage | 2–13 | -0.10 | 15% | 17 Jun → | |
| dust2 | 13–2 | -0.02 | 14% | 17 Jun → | |
| cache | 10–13 | -0.05 | 8% | 10 Jun → | |
| vertigo | 3–13 | -0.07 | 22% | 10 Jun → | |
| warden | 13–6 | -0.04 | 5% | 10 Jun → | |
| cache | 9–13 | -0.04 | 15% | 4 Jun → | |
| cache | 13–3 | 0.01 | 11% | 4 Jun → | |
| warden | 13–8 | -0.03 | 4% | 3 Jun → | |
| office | 13–5 | 0.01 | 13% | 2 Jun → | |
| ancient | 12–12 | -0.05 | 11% | 1 Jun → | |
| inferno | 13–7 | -0.04 | 16% | 1 Jun → | |
| anubis | 13–8 | -0.06 | 6% | 26 May → | |
| dust2 | 13–9 | -0.03 | 23% | 26 May → | |
| dust2 | 12–12 | -0.05 | 7% | 14 May → | |
| cache | 9–13 | -0.06 | 7% | 14 May → | |
| mirage | 6–13 | -0.03 | 13% | 13 May → | |
| cache | 13–9 | -0.04 | 8% | 13 May → | |
| vertigo | 7–13 | -0.05 | 10% | 13 May → | |
| cache | 3–13 | -0.10 | 11% | 12 May → | |
| cache | 10–13 | -0.07 | 11% | 11 May → | |
| office | 13–3 | 0.03 | 10% | 9 May → | |
| vertigo | 13–9 | -0.06 | 11% | 9 May → | |
| office | 13–7 | -0.01 | 20% | 8 May → | |
| cache | 13–11 | -0.05 | 11% | 8 May → | |
| cache | 13–10 | -0.08 | 9% | 7 May → | |
| nuke | 5–13 | -0.09 | 9% | 7 May → | |
| vertigo | 9–13 | -0.05 | 7% | 7 May → | |
| vertigo | 8–13 | -0.07 | 21% | 6 May → | |
| cache | 12–12 | -0.06 | 10% | 6 May → | |
| cache | 12–12 | 0.01 | 13% | 5 May → | |
| cache | 13–7 | -0.04 | 17% | 5 May → | |
| cache | 9–13 | -0.02 | 22% | 4 May → | |
| cache | 5–13 | -0.09 | 13% | 4 May → | |
| office | 11–13 | -0.08 | 15% | 4 May → | |
| office | 13–3 | -0.10 | 26% | 4 May → | |
| cache | 3–13 | -0.10 | 6% | 3 May → | |
| cache | 13–4 | -0.06 | 8% | 3 May → | |
| vertigo | 13–8 | 0.04 | 21% | 3 May → | |
| vertigo | 8–13 | -0.06 | 13% | 3 May → | |
| cache | 13–1 | 0.02 | 21% | 2 May → | |
| office | 13–6 | -0.03 | 13% | 2 May → | |
| cache | 13–9 | -0.05 | 8% | 29 Apr → | |
| cache | 7–13 | -0.06 | 0% | 29 Apr → | |
| office | 12–12 | -0.08 | 14% | 29 Apr → | |
| vertigo | 13–6 | 0.04 | 13% | 29 Apr → | |
| cache | 10–13 | -0.06 | 4% | 29 Apr → | |
| office | 10–13 | -0.02 | 4% | 27 Apr → | |
| train | 12–12 | -0.09 | 13% | 27 Apr → | |
| train | 13–10 | -0.11 | 11% | 27 Apr → | |
| ancient | 10–13 | -0.04 | 8% | 27 Apr → | |
| nuke | 13–7 | -0.04 | 0% | 26 Apr → | |
| office | 13–6 | -0.11 | 3% | 26 Apr → | |
| mirage | 9–13 | -0.11 | 17% | 26 Apr → |
Match data via Leetify.