tempsst — CS2 Stats
76561199605328324[U:1:1645062596]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median |
|---|---|---|
| Headshot rate | 56.9% | 52.0% |
| Shot accuracy | 0.0% | 13.7% |
| Kill/death ratio | 1.32 | 1.08 |
| Match win rate | 57.5% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashes
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 94% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower opening-duel success.
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 93 — the mechanical foundation is a clear strength.
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 8.1/10 (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 |
|---|---|---|---|---|---|
| A | 22 | 13–9 | 59% | 0.07 | |
| S | 20 | 14–6 | 70% | 0.08 | |
| S | 19 | 16–3 | 84% | 0.06 | |
| S | 18 | 12–6 | 67% | 0.06 | |
| D | 7 | 1–6 | 14% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.04 | |
| — | 3 | 2–1 | 67% | 0.14 | |
| — | 3 | 1–2 | 33% | 0.06 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| cbble | — | 1 | 1–0 | 100% | 0.11 |
| rooftop | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 332 | 55% | 1.41 | 17.9 |
| Dust2 | 269 | 57% | 1.36 | 17.2 |
| Ancient | 194 | 54% | 1.39 | 18.6 |
| Nuke | 153 | 53% | 1.45 | 20.2 |
| Inferno | 91 | 58% | 1.39 | 19.2 |
| Anubis | 87 | 61% | 1.44 | 18.9 |
| Vertigo | 43 | 70% | 1.68 | 20.8 |
| Overpass | 20 | 40% | 1.48 | 23.0 |
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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | 0.07 | 22% | 27 Aug → | ||
| 13–10 | -0.01 | 16% | 24 Aug → | ||
| 16–14 | 0.04 | 34% | 24 Aug → | ||
| 4–13 | -0.02 | 27% | 22 Aug → | ||
| 3–5 | 0.07 | 47% | 13 Aug → | ||
| 5–6 | 0.09 | 39% | 13 Aug → | ||
| 5–13 | 0.02 | 33% | 15 Jul → | ||
| 19–17 | 0.07 | 27% | 14 Jul → | ||
| 13–10 | 0.19 | 17% | 27 Jun → | ||
| 13–6 | 0.17 | 24% | 27 Jun → | ||
| 13–7 | -0.03 | 13% | 16 Jun → | ||
| 13–4 | 0.13 | 23% | 31 May → | ||
| cbble | 13–8 | 0.11 | 33% | 31 May → | |
| 22–18 | -0.01 | 20% | 27 May → | ||
| 13–8 | 0.17 | 27% | 26 May → | ||
| 13–10 | 0.03 | 25% | 26 May → | ||
| 11–13 | 0.02 | 28% | 25 May → | ||
| 13–5 | 0.08 | 21% | 24 May → | ||
| 13–5 | -0.01 | 28% | 24 May → | ||
| 22–20 | 0.11 | 26% | 23 May → | ||
| 1–13 | -0.05 | 37% | 22 May → | ||
| 13–8 | 0.13 | 22% | 19 May → | ||
| 9–13 | -0.06 | 16% | 18 May → | ||
| 11–13 | 0.01 | 24% | 30 Apr → | ||
| 4–13 | -0.02 | 38% | 30 Apr → | ||
| 13–9 | 0.00 | 30% | 26 Apr → | ||
| 13–11 | 0.01 | 33% | 24 Apr → | ||
| 15–19 | 0.05 | 25% | 17 Apr → | ||
| 13–4 | 0.15 | 21% | 17 Apr → | ||
| 11–13 | 0.11 | 32% | 17 Apr → | ||
| 13–8 | 0.14 | 34% | 17 Apr → | ||
| 9–13 | -0.04 | 16% | 21 Mar → | ||
| 11–13 | 0.07 | 26% | 20 Mar → | ||
| 12–16 | 0.08 | 12% | 15 Mar → | ||
| 13–6 | 0.02 | 23% | 13 Mar → | ||
| 13–9 | 0.02 | 27% | 7 Mar → | ||
| 10–13 | 0.02 | 29% | 4 Mar → | ||
| 13–7 | 0.09 | 24% | 4 Mar → | ||
| 13–3 | 0.16 | 36% | 4 Mar → | ||
| 13–3 | 0.17 | 15% | 4 Mar → | ||
| 9–13 | 0.05 | 14% | 2 Mar → | ||
| 4–13 | -0.03 | 26% | 28 Feb → | ||
| 13–1 | 0.23 | 25% | 27 Feb → | ||
| 13–9 | 0.12 | 33% | 20 Feb → | ||
| 16–14 | 0.09 | 39% | 20 Feb → | ||
| 13–9 | 0.01 | 39% | 16 Feb → | ||
| 13–11 | 0.14 | 30% | 11 Feb → | ||
| 13–5 | 0.10 | 25% | 10 Feb → | ||
| 13–5 | -0.01 | 21% | 10 Feb → | ||
| 13–16 | 0.10 | 26% | 8 Feb → | ||
| 13–6 | 0.09 | 20% | 7 Feb → | ||
| 13–3 | 0.08 | 22% | 7 Feb → | ||
| 13–11 | 0.10 | 36% | 7 Feb → | ||
| 13–2 | 0.26 | 24% | 6 Feb → | ||
| 16–12 | 0.19 | 21% | 6 Feb → | ||
| 13–2 | 0.39 | 28% | 5 Feb → | ||
| 13–9 | 0.09 | 24% | 5 Feb → | ||
| 13–10 | 0.10 | 38% | 4 Feb → | ||
| 16–12 | 0.06 | 28% | 31 Jan → | ||
| 13–10 | 0.18 | 26% | 29 Jan → | ||
| 16–12 | 0.07 | 23% | 29 Jan → | ||
| 12–16 | 0.05 | 25% | 27 Jan → | ||
| 8–13 | -0.01 | 24% | 27 Jan → | ||
| 13–0 | 0.37 | 22% | 26 Jan → | ||
| 13–6 | 0.06 | 30% | 17 Jan → | ||
| 11–13 | 0.16 | 21% | 17 Jan → | ||
| 13–4 | 0.07 | 41% | 17 Jan → | ||
| 13–7 | 0.01 | 35% | 7 Jan → | ||
| 13–11 | -0.04 | 35% | 30 Dec → | ||
| 4–13 | 0.01 | 17% | 29 Dec → | ||
| rooftop | 9–2 | 0.02 | 80% | 17 Dec → | |
| 7–13 | -0.02 | 28% | 17 Dec → | ||
| 13–8 | 0.05 | 31% | 2 Dec → | ||
| 6–13 | 0.01 | 25% | 2 Dec → | ||
| 4–13 | -0.01 | 29% | 25 Nov → | ||
| 13–6 | -0.01 | 17% | 20 Nov → | ||
| 13–4 | 0.14 | 19% | 20 Nov → | ||
| 13–5 | 0.12 | 21% | 20 Nov → | ||
| 13–1 | 0.15 | 30% | 14 Nov → | ||
| 13–7 | 0.06 | 25% | 13 Nov → | ||
| 13–10 | 0.12 | 21% | 9 Nov → | ||
| 13–4 | -0.02 | 13% | 4 Nov → | ||
| 13–2 | 0.10 | 35% | 3 Nov → | ||
| 13–10 | 0.01 | 18% | 3 Nov → | ||
| 13–5 | 0.03 | 21% | 2 Nov → | ||
| 13–7 | -0.04 | 26% | 2 Nov → | ||
| 11–13 | -0.05 | 20% | 28 Oct → | ||
| 13–16 | -0.01 | 26% | 28 Oct → | ||
| 13–7 | 0.04 | 12% | 27 Oct → | ||
| 7–13 | -0.05 | 12% | 23 Oct → | ||
| 13–10 | 0.05 | 26% | 18 Sept → | ||
| 10–13 | -0.00 | 20% | 12 Sept → | ||
| 13–6 | -0.05 | 29% | 9 Sept → | ||
| 5–13 | 0.02 | 22% | 9 Sept → | ||
| 17–19 | 0.09 | 28% | 9 Sept → | ||
| 13–5 | 0.07 | 20% | 7 Sept → | ||
| 10–13 | -0.02 | 23% | 7 Sept → | ||
| 7–13 | -0.06 | 23% | 6 Sept → | ||
| 7–13 | 0.04 | 29% | 6 Sept → | ||
| 12–12 | 0.13 | 26% | 31 Aug → |
Match data via Leetify.
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