TheOGPotato — CS2 Stats
US76561198165252550[U:1:204986822]Steam profile ↗
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 | Level 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 59.0% | 47.2% | 49.0% | above |
| Shot accuracy | 10.8% | 12.3% | 13.1% | 2.3% short |
| Kill/death ratio | 1.22 | 1.07 | 1.08 | above |
| Match win rate | 45.5% | 46.3% | 46.9% | 1.4% short |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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: +30pp win rate · +0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent 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 95% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 96 — the mechanical foundation is a clear strength.
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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. 577ms 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 8.4/10 (Strong), 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 |
|---|---|---|---|---|---|
 cache | A | 49 | 28–21 | 57% | 0.03 |
 dust2 | A | 18 | 10–8 | 56% | 0.04 |
 inferno | S | 12 | 10–2 | 83% | 0.04 |
 mirage | C | 11 | 4–7 | 36% | 0.03 |
 nuke | A | 5 | 3–2 | 60% | 0.05 |
 anubis | — | 2 | 1–1 | 50% | 0.02 |
 ancient | — | 2 | 1–1 | 50% | 0.04 |
| office | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (36% over 11). 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 101 | 51% | 1.38 | 17.7 |
| Dust2 | 66 | 58% | 1.52 | 18.3 |
| Inferno | 58 | 55% | 1.43 | 18.7 |
| Anubis | 54 | 43% | 1.21 | 19.1 |
| Ancient | 33 | 39% | 1.21 | 17.9 |
| Nuke | 21 | 62% | 1.31 | 18.6 |
| Train | 19 | 47% | 1.21 | 16.0 |
| Vertigo | 6 | 83% | 1.50 | 22.8 |
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.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–7 | 0.13 | 23% | 24 Aug → | |
| dust2 | 13–8 | 0.09 | 34% | 24 Aug → | |
| inferno | 13–10 | 0.02 | 27% | 24 Aug → | |
| dust2 | 7–13 | 0.06 | 45% | 24 Aug → | |
| nuke | 16–13 | 0.06 | 31% | 24 Aug → | |
| inferno | 13–8 | 0.09 | 30% | 22 Aug → | |
| cache | 13–11 | 0.01 | 30% | 21 Aug → | |
| dust2 | 8–13 | 0.07 | 50% | 21 Aug → | |
| anubis | 13–8 | 0.01 | 26% | 21 Aug → | |
| mirage | 13–5 | 0.03 | 23% | 21 Aug → | |
| cache | 13–8 | 0.03 | 30% | 18 Aug → | |
| dust2 | 13–11 | 0.05 | 26% | 18 Aug → | |
| dust2 | 5–13 | -0.00 | 35% | 17 Aug → | |
| nuke | 13–10 | 0.05 | 32% | 17 Aug → | |
| mirage | 8–13 | 0.01 | 24% | 17 Aug → | |
| dust2 | 13–8 | 0.04 | 14% | 16 Aug → | |
| inferno | 14–16 | -0.04 | 17% | 16 Aug → | |
| cache | 13–3 | 0.03 | 50% | 16 Aug → | |
| mirage | 10–13 | 0.00 | 29% | 14 Aug → | |
| mirage | 9–13 | 0.01 | 14% | 14 Aug → | |
| cache | 13–11 | 0.07 | 20% | 14 Aug → | |
| inferno | 13–5 | 0.01 | 36% | 14 Aug → | |
| inferno | 6–13 | 0.06 | 23% | 7 Aug → | |
| ancient | 13–7 | 0.03 | 21% | 7 Aug → | |
| dust2 | 13–9 | 0.03 | 35% | 3 Aug → | |
| nuke | 11–13 | 0.01 | 22% | 2 Aug → | |
| inferno | 16–12 | 0.03 | 22% | 2 Aug → | |
| mirage | 7–13 | 0.10 | 29% | 2 Aug → | |
| cache | 4–13 | 0.02 | 24% | 2 Aug → | |
| ancient | 9–13 | 0.05 | 19% | 2 Aug → | |
| cache | 16–12 | 0.06 | 21% | 1 Aug → | |
| inferno | 13–10 | 0.09 | 36% | 1 Aug → | |
| cache | 10–13 | -0.01 | 28% | 1 Aug → | |
| nuke | 10–13 | 0.07 | 27% | 31 Jul → | |
| cache | 8–13 | 0.00 | 32% | 31 Jul → | |
| inferno | 13–11 | 0.03 | 29% | 31 Jul → | |
| mirage | 10–13 | 0.02 | 36% | 31 Jul → | |
| cache | 13–10 | 0.05 | 27% | 31 Jul → | |
| cache | 16–12 | 0.10 | 38% | 31 Jul → | |
| inferno | 16–13 | 0.01 | 26% | 27 Jul → | |
| cache | 6–13 | 0.04 | 31% | 27 Jul → | |
| dust2 | 13–11 | 0.10 | 50% | 21 Jul → | |
| dust2 | 13–7 | 0.05 | 14% | 21 Jul → | |
| dust2 | 12–12 | 0.06 | 33% | 21 Jul → | |
| dust2 | 9–13 | 0.03 | 40% | 13 Jul → | |
| cache | 8–13 | 0.00 | 33% | 13 Jul → | |
| dust2 | 5–13 | -0.02 | 38% | 13 Jul → | |
| dust2 | 16–14 | 0.07 | 34% | 13 Jul → | |
| cache | 6–13 | -0.04 | 35% | 13 Jul → | |
| inferno | 13–5 | 0.05 | 34% | 13 Jul → | |
| dust2 | 13–9 | 0.01 | 23% | 12 Jul → | |
| dust2 | 4–13 | 0.02 | 29% | 12 Jul → | |
| cache | 9–13 | 0.04 | 26% | 12 Jul → | |
| cache | 13–5 | 0.05 | 30% | 10 Jul → | |
| mirage | 6–13 | -0.03 | 22% | 9 Jul → | |
| nuke | 13–2 | 0.07 | 38% | 9 Jul → | |
| mirage | 13–10 | 0.05 | 35% | 30 Jun → | |
| cache | 13–3 | 0.05 | 36% | 30 Jun → | |
| mirage | 13–3 | 0.15 | 35% | 29 Jun → | |
| dust2 | 16–12 | -0.01 | 26% | 29 Jun → | |
| mirage | 13–11 | 0.03 | 34% | 29 Jun → | |
| cache | 0–13 | -0.05 | 29% | 29 Jun → | |
| cache | 13–6 | 0.05 | 18% | 29 Jun → | |
| cache | 13–4 | -0.03 | 22% | 29 Jun → | |
| inferno | 13–9 | 0.03 | 27% | 24 Jun → | |
| dust2 | 2–13 | 0.02 | 40% | 24 Jun → | |
| cache | 13–11 | 0.06 | 30% | 24 Jun → | |
| cache | 13–10 | 0.01 | 44% | 23 Jun → | |
| anubis | 9–13 | 0.04 | 51% | 23 Jun → | |
| cache | 13–9 | 0.05 | 24% | 23 Jun → | |
| cache | 13–11 | -0.04 | 20% | 22 Jun → | |
| mirage | 11–13 | -0.02 | 24% | 22 Jun → | |
| cache | 5–13 | 0.03 | 43% | 19 Jun → | |
| cache | 13–6 | 0.12 | 36% | 19 Jun → | |
| dust2 | 13–10 | -0.01 | 24% | 17 Jun → | |
| cache | 11–13 | 0.15 | 26% | 3 Jun → | |
| cache | 12–12 | 0.08 | 32% | 3 Jun → | |
| cache | 13–4 | 0.14 | 32% | 3 Jun → | |
| cache | 10–13 | 0.00 | 32% | 2 Jun → | |
| office | 11–13 | 0.01 | 63% | 1 Jun → | |
| cache | 7–13 | 0.05 | 50% | 1 Jun → | |
| cache | 7–13 | 0.05 | 50% | 1 Jun → | |
| cache | 12–12 | 0.10 | 22% | 1 Jun → | |
| cache | 13–10 | 0.01 | 24% | 1 Jun → | |
| cache | 12–12 | -0.03 | 28% | 1 Jun → | |
| cache | 6–0 | -0.01 | 33% | 1 Jun → | |
| cache | 13–1 | 0.01 | 21% | 1 Jun → | |
| cache | 1–13 | -0.01 | 22% | 31 May → | |
| cache | 13–10 | 0.05 | 24% | 31 May → | |
| cache | 13–5 | 0.03 | 20% | 31 May → | |
| cache | 10–13 | -0.06 | 23% | 31 May → | |
| cache | 8–13 | -0.01 | 31% | 31 May → | |
| cache | 13–5 | 0.08 | 33% | 30 May → | |
| cache | 13–5 | 0.00 | 29% | 30 May → | |
| cache | 13–5 | 0.03 | 40% | 30 May → | |
| cache | 7–13 | 0.01 | 49% | 30 May → | |
| cache | 13–2 | 0.09 | 50% | 30 May → | |
| cache | 13–5 | -0.02 | 29% | 30 May → | |
| cache | 9–13 | 0.01 | 22% | 30 May → | |
| cache | 13–4 | 0.15 | 36% | 30 May → |
Match data via Leetify.
