doltn — CS2 Stats
76561198281981407[U:1:321715679]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 69.1% | 52.8% |
| Shot accuracy | 19.5% | 13.7% |
| Kill/death ratio | 0.77 | 1.08 |
| Match win rate | 48.5% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · +0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side opener
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, utility contribution.
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 87 — the mechanical foundation is a clear strength.
CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 68% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
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 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 25 | 16–9 | 64% | 0.03 | |
| A | 16 | 10–6 | 63% | 0.02 | |
| B | 13 | 7–6 | 54% | -0.02 | |
| A | 11 | 7–4 | 64% | -0.00 | |
| S | 9 | 6–3 | 67% | -0.02 | |
| C | 9 | 4–5 | 44% | 0.03 | |
| S | 6 | 5–1 | 83% | 0.04 | |
| — | 3 | 1–2 | 33% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.07 | |
| office | — | 2 | 1–1 | 50% | -0.01 |
| agency | — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Overpass 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 256 | 55% | 1.08 | 16.2 |
| Ancient | 176 | 55% | 1.01 | 14.8 |
| Inferno | 99 | 57% | 1.06 | 14.8 |
| Dust2 | 99 | 49% | 1.04 | 16.8 |
| Anubis | 70 | 54% | 1.09 | 16.1 |
| Nuke | 69 | 55% | 1.04 | 15.1 |
| Overpass | 41 | 56% | 1.12 | 16.9 |
| Train | 17 | 53% | 1.02 | 15.7 |
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.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.04 | 22% | 28 Aug → | ||
| 13–9 | 0.04 | 29% | 25 Aug → | ||
| 13–6 | 0.00 | 21% | 24 Aug → | ||
| 6–13 | 0.03 | 42% | 18 Aug → | ||
| 13–6 | 0.03 | 25% | 18 Aug → | ||
| 13–11 | 0.10 | 31% | 16 Aug → | ||
| 13–1 | -0.00 | 20% | 15 Aug → | ||
| 13–5 | -0.04 | 17% | 13 Aug → | ||
| 13–2 | -0.01 | 23% | 11 Aug → | ||
| 13–10 | 0.05 | 17% | 4 Aug → | ||
| 10–13 | -0.01 | 30% | 31 Jul → | ||
| 8–13 | 0.09 | 28% | 30 Jul → | ||
| 6–13 | -0.05 | 24% | 25 Jul → | ||
| 11–13 | -0.02 | 20% | 25 Jul → | ||
| 8–13 | 0.04 | 26% | 25 Jul → | ||
| 13–10 | 0.02 | 26% | 9 Jul → | ||
| 8–4 | -0.05 | 24% | 9 Jul → | ||
| 9–13 | -0.06 | 42% | 1 Jul → | ||
| 13–5 | 0.02 | 26% | 1 Jul → | ||
| 13–9 | 0.00 | 23% | 30 Jun → | ||
| 8–13 | -0.04 | 20% | 30 Jun → | ||
| 7–13 | -0.01 | 26% | 30 Jun → | ||
| 13–11 | 0.06 | 19% | 27 Jun → | ||
| 13–8 | 0.01 | 34% | 27 Jun → | ||
| 13–5 | 0.04 | 31% | 27 Jun → | ||
| 13–5 | 0.02 | 26% | 22 Jun → | ||
| 13–11 | 0.07 | 24% | 22 Jun → | ||
| 13–4 | 0.13 | 29% | 20 Jun → | ||
| 13–7 | 0.14 | 22% | 20 Jun → | ||
| 7–13 | -0.01 | 31% | 18 Jun → | ||
| 13–4 | 0.02 | 36% | 18 Jun → | ||
| 5–13 | 0.00 | 38% | 14 Jun → | ||
| 9–13 | 0.04 | 47% | 7 Jun → | ||
| 4–13 | -0.07 | 16% | 4 Jun → | ||
| 13–2 | 0.20 | 21% | 30 May → | ||
| 13–11 | 0.00 | 14% | 21 May → | ||
| 16–14 | -0.05 | 38% | 20 May → | ||
| 13–9 | 0.02 | 17% | 10 May → | ||
| 10–13 | -0.02 | 28% | 8 May → | ||
| 13–8 | 0.01 | 43% | 7 May → | ||
| 13–1 | 0.06 | 21% | 7 May → | ||
| 13–1 | 0.02 | 26% | 1 May → | ||
| 9–13 | 0.02 | 22% | 3 Apr → | ||
| 13–6 | 0.08 | 23% | 1 Apr → | ||
| 13–6 | 0.01 | 34% | 1 Apr → | ||
| 3–13 | -0.06 | 28% | 28 Mar → | ||
| 7–13 | -0.05 | 24% | 28 Mar → | ||
| 13–8 | 0.03 | 20% | 28 Mar → | ||
| 13–6 | -0.02 | 23% | 28 Mar → | ||
| 10–13 | -0.05 | 17% | 28 Mar → | ||
| 16–13 | -0.04 | 23% | 28 Mar → | ||
| 10–13 | -0.04 | 18% | 28 Mar → | ||
| 16–12 | 0.01 | 19% | 20 Mar → | ||
| 13–8 | 0.04 | 11% | 13 Mar → | ||
| 13–2 | -0.00 | 26% | 12 Mar → | ||
| 13–8 | -0.02 | 14% | 8 Mar → | ||
| 16–14 | -0.04 | 31% | 8 Mar → | ||
| 11–13 | 0.04 | 20% | 7 Mar → | ||
| 13–10 | 0.02 | 20% | 4 Mar → | ||
| 5–13 | -0.05 | 12% | 28 Feb → | ||
| 13–6 | 0.02 | 15% | 24 Feb → | ||
| 13–7 | 0.03 | 19% | 21 Feb → | ||
| 13–5 | -0.02 | 17% | 21 Feb → | ||
| 8–13 | -0.02 | 19% | 21 Feb → | ||
| 10–13 | -0.04 | 19% | 21 Feb → | ||
| 13–3 | -0.08 | 18% | 21 Feb → | ||
| 13–8 | 0.02 | 54% | 17 Feb → | ||
| 19–17 | -0.01 | 16% | 10 Feb → | ||
| 13–3 | 0.03 | 14% | 8 Feb → | ||
| 13–9 | 0.02 | 22% | 7 Feb → | ||
| 19–17 | -0.03 | 19% | 5 Feb → | ||
| 13–4 | 0.12 | 16% | 4 Feb → | ||
| 13–2 | 0.08 | 24% | 3 Feb → | ||
| 17–19 | -0.05 | 21% | 28 Jan → | ||
| 0–13 | -0.07 | 64% | 27 Jan → | ||
| office | 5–13 | -0.00 | 32% | 24 Jan → | |
| office | 13–10 | -0.03 | 10% | 24 Jan → | |
| 10–13 | -0.04 | 20% | 23 Jan → | ||
| 8–13 | 0.02 | 24% | 21 Jan → | ||
| 14–16 | 0.04 | 21% | 17 Jan → | ||
| 11–13 | 0.12 | 19% | 17 Jan → | ||
| 16–12 | 0.04 | 22% | 11 Jan → | ||
| 13–8 | 0.05 | 6% | 10 Jan → | ||
| 14–16 | 0.01 | 22% | 9 Jan → | ||
| 13–4 | 0.06 | 23% | 7 Jan → | ||
| 7–13 | -0.07 | 17% | 4 Jan → | ||
| 5–13 | -0.01 | 17% | 4 Jan → | ||
| 6–13 | -0.05 | 19% | 3 Jan → | ||
| 4–13 | -0.03 | 26% | 3 Jan → | ||
| 5–13 | -0.03 | 21% | 2 Jan → | ||
| 13–6 | 0.08 | 52% | 1 Jan → | ||
| 13–8 | 0.05 | 18% | 31 Dec → | ||
| 13–4 | -0.04 | 14% | 27 Dec → | ||
| agency | 13–11 | -0.05 | 21% | 24 Dec → | |
| 13–8 | 0.13 | 15% | 24 Dec → | ||
| 9–13 | 0.04 | 32% | 21 Dec → | ||
| 13–6 | 0.10 | 30% | 21 Dec → | ||
| 9–13 | -0.03 | 22% | 14 Dec → | ||
| 13–5 | 0.09 | 31% | 12 Dec → | ||
| 10–13 | -0.02 | 18% | 12 Dec → |
Match data via Leetify.