Dezeez — CS2 Stats
US76561198870543801[U:1:910278073]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 | 42.6% | 47.2% | 49.0% | 6.3% short |
| Shot accuracy | 13.3% | 12.3% | 13.1% | meets |
| Kill/death ratio | 1.14 | 1.07 | 1.08 | above |
| Match win rate | 48.8% | 46.3% | 46.9% | above |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. 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: +20pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 device 93% 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 →
CSDB Rating breakdown
Composite 5.9/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 37 | 16–21 | 43% | 0.01 | |
| C | 25 | 10–15 | 40% | 0.00 | |
| D | 13 | 4–9 | 31% | -0.01 | |
| S | 6 | 4–2 | 67% | 0.00 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 3 | 1–2 | 33% | -0.00 | |
| — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (31% over 13). 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 | 197 | 51% | 1.12 | 15.5 |
| Dust2 | 165 | 48% | 1.09 | 14.8 |
| Inferno | 82 | 57% | 1.08 | 14.3 |
| Ancient | 61 | 39% | 0.99 | 14.3 |
| Anubis | 42 | 50% | 1.01 | 14.5 |
| Nuke | 36 | 44% | 1.08 | 15.0 |
| Overpass | 25 | 56% | 1.14 | 15.8 |
| Cache | 12 | 25% | 1.10 | 16.3 |
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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | -0.01 | 11% | 28 Aug → | ||
| 13–3 | -0.02 | 13% | 28 Aug → | ||
| 6–13 | -0.08 | 13% | 22 Aug → | ||
| 13–16 | 0.00 | 5% | 20 Aug → | ||
| 16–14 | 0.03 | 14% | 19 Aug → | ||
| 11–13 | -0.02 | 15% | 19 Aug → | ||
| 13–6 | 0.01 | 35% | 19 Aug → | ||
| 7–13 | 0.12 | 9% | 19 Aug → | ||
| 13–7 | -0.00 | 13% | 19 Aug → | ||
| 11–13 | 0.03 | 24% | 18 Aug → | ||
| 6–13 | -0.00 | 20% | 17 Aug → | ||
| 15–19 | -0.01 | 19% | 17 Aug → | ||
| 4–13 | -0.01 | 17% | 16 Aug → | ||
| 13–11 | 0.04 | 18% | 15 Aug → | ||
| 14–16 | 0.03 | 19% | 15 Aug → | ||
| 6–13 | -0.05 | 12% | 15 Aug → | ||
| 13–9 | -0.00 | 16% | 15 Aug → | ||
| 11–13 | -0.01 | 15% | 15 Aug → | ||
| 10–13 | -0.03 | 18% | 14 Aug → | ||
| 11–13 | 0.07 | 24% | 12 Aug → | ||
| 3–13 | -0.07 | 17% | 12 Aug → | ||
| 6–0 | -0.03 | 18% | 12 Aug → | ||
| 5–13 | 0.01 | 19% | 28 Jul → | ||
| 11–13 | 0.01 | 19% | 28 Jul → | ||
| 13–8 | 0.01 | 10% | 27 Jul → | ||
| 9–2 | 0.09 | 29% | 25 Jul → | ||
| 8–13 | -0.00 | 20% | 24 Jul → | ||
| 13–9 | 0.02 | 16% | 12 Jun → | ||
| 14–16 | 0.01 | 22% | 12 Jun → | ||
| 13–5 | 0.05 | 10% | 9 Jun → | ||
| 13–7 | 0.03 | 24% | 8 Jun → | ||
| 3–13 | 0.03 | 13% | 7 Jun → | ||
| 16–13 | -0.04 | 12% | 5 Jun → | ||
| 9–13 | 0.04 | 18% | 2 Jun → | ||
| 7–13 | 0.14 | 36% | 30 May → | ||
| 16–14 | 0.02 | 16% | 30 May → | ||
| 13–11 | 0.01 | 13% | 26 May → | ||
| 10–13 | -0.01 | 28% | 25 May → | ||
| 13–7 | 0.01 | 21% | 25 May → | ||
| 13–6 | 0.03 | 14% | 25 May → | ||
| 8–13 | -0.05 | 19% | 24 May → | ||
| 13–9 | 0.01 | 11% | 24 May → | ||
| 13–4 | -0.04 | 7% | 24 May → | ||
| 8–13 | 0.00 | 20% | 19 May → | ||
| 9–13 | -0.01 | 23% | 19 May → | ||
| 7–13 | -0.09 | 14% | 19 May → | ||
| 4–13 | -0.07 | 15% | 18 May → | ||
| 13–7 | 0.02 | 23% | 18 May → | ||
| 13–10 | -0.00 | 15% | 18 May → | ||
| 15–15 | 0.00 | 21% | 17 May → | ||
| 8–13 | -0.06 | 26% | 16 May → | ||
| 3–13 | -0.06 | 14% | 16 May → | ||
| 13–7 | 0.01 | 24% | 16 May → | ||
| 13–4 | 0.02 | 28% | 15 May → | ||
| 13–7 | 0.04 | 26% | 15 May → | ||
| 8–13 | 0.00 | 32% | 14 May → | ||
| 10–13 | -0.02 | 6% | 14 May → | ||
| 13–5 | 0.06 | 23% | 13 May → | ||
| 10–13 | 0.01 | 16% | 7 May → | ||
| 16–12 | 0.10 | 19% | 7 May → | ||
| 2–13 | -0.03 | 11% | 6 May → | ||
| 13–11 | -0.02 | 10% | 6 May → | ||
| 13–7 | 0.04 | 8% | 2 May → | ||
| 15–15 | 0.05 | 13% | 2 May → | ||
| 0–4 | -0.04 | 0% | 2 May → | ||
| 2–13 | -0.01 | 26% | 1 May → | ||
| 9–13 | -0.05 | 10% | 26 Apr → | ||
| 15–15 | -0.03 | 16% | 23 Apr → | ||
| 7–13 | -0.00 | 17% | 21 Apr → | ||
| 5–13 | 0.01 | 11% | 19 Apr → | ||
| 19–15 | -0.00 | 21% | 19 Apr → | ||
| 10–13 | -0.01 | 14% | 18 Apr → | ||
| 13–5 | -0.02 | 6% | 17 Apr → | ||
| 13–11 | 0.01 | 10% | 17 Apr → | ||
| 10–13 | 0.00 | 21% | 17 Apr → | ||
| 19–16 | 0.01 | 7% | 17 Apr → | ||
| 4–13 | -0.05 | 19% | 17 Apr → | ||
| 3–13 | -0.02 | 10% | 17 Apr → | ||
| 13–11 | 0.07 | 15% | 16 Apr → | ||
| 13–11 | -0.00 | 13% | 16 Apr → | ||
| 0–13 | -0.07 | 24% | 15 Apr → | ||
| 7–13 | 0.02 | 14% | 15 Apr → | ||
| 7–13 | -0.01 | 14% | 15 Apr → | ||
| 13–6 | 0.04 | 23% | 15 Apr → | ||
| 13–4 | 0.04 | 11% | 15 Apr → | ||
| 13–7 | 0.01 | 10% | 15 Apr → | ||
| 9–13 | -0.05 | 15% | 15 Apr → | ||
| 13–10 | 0.04 | 23% | 15 Apr → | ||
| 8–13 | -0.03 | 15% | 14 Apr → | ||
| 24–28 | 0.01 | 13% | 14 Apr → | ||
| 13–10 | 0.06 | 26% | 14 Apr → | ||
| 8–13 | -0.03 | 23% | 13 Apr → | ||
| 13–16 | -0.03 | 11% | 13 Apr → | ||
| 9–13 | -0.00 | 24% | 10 Apr → | ||
| 16–13 | -0.05 | 17% | 10 Apr → | ||
| 13–8 | 0.02 | 28% | 10 Apr → | ||
| 13–11 | 0.00 | 17% | 10 Apr → | ||
| 16–12 | 0.01 | 25% | 9 Apr → | ||
| 9–13 | 0.00 | 11% | 9 Apr → | ||
| 5–13 | -0.03 | 16% | 9 Apr → |
Match data via Leetify.