SAT — CS2 Stats
KR76561199793597117[U:1:1833331389]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=9,423), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 37.3% | 47.1% | 49.8% | 12.5% short |
| Shot accuracy | 0.0% | 12.8% | 13.4% | 13.4% short |
| Kill/death ratio | 0.99 | 1.08 | 1.12 | 0.14 short |
| Match win rate | 39.2% | 46.7% | 48.6% | 9.4% short |
This profile sits below the typical Red band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Red 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: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 ropz 85% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: 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
Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.8/10 (Developing), 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 | 25 | 13–12 | 52% | 0.01 |
 mirage | B | 20 | 9–11 | 45% | -0.00 |
 ancient | D | 12 | 4–8 | 33% | -0.01 |
 anubis | B | 11 | 5–6 | 45% | 0.01 |
 nuke | D | 9 | 3–6 | 33% | -0.02 |
 cache | B | 6 | 3–3 | 50% | -0.02 |
 inferno | S | 5 | 4–1 | 80% | 0.01 |
 train | — | 4 | 2–2 | 50% | 0.00 |
 vertigo | — | 4 | 3–1 | 75% | 0.01 |
| office | — | 3 | 2–1 | 67% | 0.05 |
 overpass | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% 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.
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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 6–13 | 0.03 | 15% | 29 Aug → | |
| cache | 13–4 | 0.01 | 22% | 29 Aug → | |
| inferno | 13–10 | -0.01 | 15% | 29 Aug → | |
| mirage | 0–13 | -0.03 | 25% | 29 Aug → | |
| ancient | 6–13 | -0.08 | 16% | 25 Aug → | |
| mirage | 13–9 | -0.05 | 8% | 25 Aug → | |
| ancient | 13–5 | 0.02 | 15% | 25 Aug → | |
| dust2 | 10–13 | 0.05 | 11% | 21 Aug → | |
| dust2 | 1–13 | -0.07 | 14% | 21 Aug → | |
| ancient | 11–13 | 0.08 | 14% | 16 Aug → | |
| ancient | 10–13 | 0.04 | 17% | 16 Aug → | |
| train | 12–12 | -0.01 | 10% | 14 Aug → | |
| train | 13–6 | 0.09 | 17% | 14 Aug → | |
| dust2 | 10–13 | 0.08 | 30% | 7 Aug → | |
| vertigo | 4–13 | -0.04 | 14% | 7 Aug → | |
| anubis | 6–13 | 0.01 | 16% | 31 Jul → | |
| inferno | 11–13 | -0.08 | 20% | 31 Jul → | |
| nuke | 13–6 | 0.00 | 16% | 30 Jul → | |
| nuke | 3–13 | -0.04 | 38% | 30 Jul → | |
| vertigo | 13–4 | 0.03 | 17% | 30 Jul → | |
| mirage | 13–11 | 0.06 | 18% | 24 Jul → | |
| anubis | 9–13 | 0.03 | 26% | 22 Jul → | |
| anubis | 9–7 | -0.01 | 11% | 22 Jul → | |
| dust2 | 5–13 | 0.03 | 16% | 21 Jul → | |
| mirage | 0–9 | -0.01 | 0% | 21 Jul → | |
| ancient | 7–13 | -0.06 | 17% | 20 Jul → | |
| dust2 | 10–13 | 0.01 | 11% | 20 Jul → | |
| nuke | 5–13 | -0.11 | 12% | 16 Jul → | |
| dust2 | 16–13 | -0.05 | 26% | 16 Jul → | |
| anubis | 16–12 | 0.02 | 9% | 15 Jul → | |
| mirage | 3–13 | -0.05 | 12% | 15 Jul → | |
| anubis | 0–13 | -0.06 | 27% | 15 Jul → | |
| ancient | 13–9 | -0.02 | 15% | 15 Jul → | |
| dust2 | 13–11 | -0.01 | 14% | 15 Jul → | |
| mirage | 5–13 | -0.10 | 10% | 15 Jul → | |
| dust2 | 13–5 | 0.07 | 13% | 15 Jul → | |
| mirage | 4–13 | -0.03 | 13% | 15 Jul → | |
| dust2 | 9–13 | -0.04 | 22% | 15 Jul → | |
| dust2 | 5–13 | -0.02 | 8% | 14 Jul → | |
| cache | 13–16 | -0.06 | 13% | 12 Jul → | |
| mirage | 4–13 | -0.02 | 2% | 12 Jul → | |
| ancient | 8–13 | 0.01 | 15% | 12 Jul → | |
| dust2 | 2–13 | -0.07 | 14% | 12 Jul → | |
| dust2 | 13–5 | -0.03 | 9% | 12 Jul → | |
| mirage | 13–9 | -0.02 | 0% | 12 Jul → | |
| nuke | 9–13 | -0.05 | 17% | 11 Jul → | |
| mirage | 2–13 | -0.04 | 26% | 9 Jul → | |
| dust2 | 13–11 | -0.05 | 13% | 9 Jul → | |
| office | 4–13 | 0.10 | 11% | 9 Jul → | |
| mirage | 13–0 | 0.05 | 22% | 9 Jul → | |
| ancient | 6–13 | -0.08 | 30% | 9 Jul → | |
| cache | 16–12 | 0.04 | 36% | 9 Jul → | |
| dust2 | 13–1 | 0.26 | 20% | 9 Jul → | |
| office | 13–5 | -0.03 | 16% | 8 Jul → | |
| cache | 13–6 | -0.09 | 3% | 7 Jul → | |
| dust2 | 13–2 | 0.07 | 26% | 7 Jul → | |
| train | 13–6 | -0.00 | 25% | 7 Jul → | |
| dust2 | 13–8 | 0.05 | 18% | 2 Jul → | |
| overpass | 13–1 | 0.04 | 14% | 2 Jul → | |
| anubis | 13–11 | 0.01 | 13% | 2 Jul → | |
| mirage | 16–14 | 0.14 | 20% | 28 Jun → | |
| dust2 | 16–12 | 0.14 | 31% | 28 Jun → | |
| inferno | 9–5 | 0.09 | 47% | 27 Jun → | |
| ancient | 13–11 | 0.13 | 14% | 27 Jun → | |
| nuke | 13–0 | 0.02 | 31% | 26 Jun → | |
| cache | 11–13 | -0.03 | 24% | 26 Jun → | |
| dust2 | 7–3 | 0.08 | 25% | 26 Jun → | |
| mirage | 2–13 | -0.05 | 33% | 26 Jun → | |
| inferno | 13–10 | -0.02 | 22% | 25 Jun → | |
| nuke | 8–13 | -0.00 | 16% | 20 Jun → | |
| inferno | 13–3 | 0.07 | 18% | 20 Jun → | |
| office | 13–7 | 0.08 | 16% | 20 Jun → | |
| mirage | 16–13 | 0.02 | 25% | 20 Jun → | |
| train | 8–13 | -0.07 | 12% | 20 Jun → | |
| mirage | 13–5 | 0.10 | 10% | 20 Jun → | |
| dust2 | 2–13 | -0.10 | 17% | 20 Jun → | |
| dust2 | 13–5 | 0.01 | 20% | 17 Jun → | |
| mirage | 9–13 | -0.05 | 24% | 12 Jun → | |
| dust2 | 10–13 | -0.01 | 10% | 6 Jun → | |
| nuke | 9–13 | 0.02 | 9% | 3 Jun → | |
| ancient | 6–13 | -0.10 | 6% | 3 Jun → | |
| vertigo | 13–6 | 0.02 | 26% | 3 Jun → | |
| vertigo | 13–3 | 0.03 | 27% | 3 Jun → | |
| dust2 | 16–14 | -0.05 | 28% | 2 Jun → | |
| anubis | 8–13 | -0.05 | 23% | 2 Jun → | |
| dust2 | 8–13 | -0.02 | 21% | 2 Jun → | |
| dust2 | 3–13 | -0.02 | 26% | 2 Jun → | |
| ancient | 7–13 | -0.05 | 14% | 2 Jun → | |
| mirage | 3–13 | 0.04 | 21% | 30 May → | |
| anubis | 9–13 | 0.02 | 12% | 30 May → | |
| nuke | 13–11 | 0.01 | 22% | 30 May → | |
| nuke | 1–13 | -0.06 | 40% | 29 May → | |
| ancient | 13–10 | -0.04 | 15% | 29 May → | |
| anubis | 10–13 | 0.04 | 26% | 29 May → | |
| anubis | 13–11 | 0.07 | 21% | 28 May → | |
| dust2 | 13–11 | -0.03 | 12% | 28 May → | |
| mirage | 8–13 | -0.00 | 9% | 26 May → | |
| mirage | 13–8 | 0.03 | 15% | 26 May → | |
| mirage | 13–4 | -0.00 | 13% | 26 May → | |
| anubis | 13–9 | 0.01 | 24% | 26 May → |
Match data via Leetify.
