ComradeVoldsomme — CS2 Stats
DK76561197977906905[U:1:17641177]Steam profile ↗
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 39.1% | 42.5% | 44.2% | 5.1% short |
| Shot accuracy | 15.0% | 10.9% | 11.2% | above |
| Kill/death ratio | 0.87 | 0.99 | 1.04 | 0.17 short |
| Match win rate | 44.3% | 44.2% | 45.3% | 1.0% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 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 · +0.02 avg rating
Player DNA
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 NiKo 78% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 735ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% 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 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| S | 26 | 17–9 | 65% | -0.01 | |
| D | 17 | 5–12 | 29% | -0.04 | |
| C | 12 | 5–7 | 42% | -0.03 | |
| D | 11 | 3–8 | 27% | -0.02 | |
| S | 7 | 5–2 | 71% | -0.00 | |
| B | 6 | 3–3 | 50% | -0.04 | |
| C | 5 | 2–3 | 40% | -0.03 | |
| — | 4 | 4–0 | 100% | -0.02 | |
| — | 4 | 3–1 | 75% | -0.01 | |
| office | — | 2 | 0–2 | 0% | -0.08 |
| poseidon | — | 1 | 0–1 | 0% | -0.04 |
| — | 1 | 1–0 | 100% | 0.02 | |
| alpine | — | 1 | 1–0 | 100% | 0.00 |
| stronghold | — | 1 | 0–1 | 0% | -0.06 |
| grail | — | 1 | 0–1 | 0% | -0.04 |
| jura | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 188 | 55% | 0.89 | 13.6 |
| Anubis | 132 | 51% | 0.82 | 13.7 |
| Dust2 | 99 | 43% | 0.82 | 12.9 |
| Ancient | 96 | 33% | 0.81 | 13.2 |
| Mirage | 95 | 48% | 0.84 | 13.2 |
| Inferno | 90 | 51% | 0.90 | 13.5 |
| Vertigo | 85 | 54% | 0.85 | 13.6 |
| Overpass | 58 | 47% | 0.73 | 11.6 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.5277° — above the 12° mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 734.7684ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.02 | 14% | 25 Aug → | ||
| 8–13 | -0.01 | 19% | 13 Aug → | ||
| 13–5 | -0.03 | 10% | 5 Aug → | ||
| 16–12 | -0.04 | 15% | 15 Jul → | ||
| 9–13 | -0.03 | 7% | 14 Jul → | ||
| 6–13 | 0.02 | 13% | 13 Jul → | ||
| 13–5 | 0.00 | 23% | 13 Jul → | ||
| 7–13 | -0.02 | 13% | 4 Jul → | ||
| 5–13 | -0.06 | 9% | 2 Jul → | ||
| 7–13 | -0.07 | 11% | 30 Jun → | ||
| 13–10 | -0.05 | 11% | 9 Jun → | ||
| 11–13 | -0.01 | 15% | 7 Jun → | ||
| poseidon | 7–9 | -0.04 | 24% | 7 Jun → | |
| 4–9 | -0.20 | 50% | 7 Jun → | ||
| 12–4 | 0.05 | 11% | 18 May → | ||
| 13–8 | 0.04 | 8% | 30 Apr → | ||
| 13–3 | -0.03 | 12% | 30 Apr → | ||
| 13–3 | -0.08 | 18% | 30 Apr → | ||
| 3–13 | -0.05 | 35% | 20 Apr → | ||
| 11–13 | -0.05 | 20% | 11 Apr → | ||
| 13–8 | 0.01 | 17% | 11 Apr → | ||
| 6–13 | 0.01 | 26% | 11 Apr → | ||
| 8–13 | -0.09 | 29% | 10 Apr → | ||
| office | 6–13 | -0.13 | 28% | 20 Mar → | |
| 5–13 | -0.00 | 26% | 9 Mar → | ||
| 13–1 | 0.05 | 18% | 9 Mar → | ||
| 8–13 | -0.09 | 29% | 25 Feb → | ||
| 16–13 | -0.02 | 20% | 13 Feb → | ||
| 10–13 | -0.06 | 19% | 13 Feb → | ||
| 10–13 | -0.01 | 14% | 12 Feb → | ||
| 11–13 | -0.03 | 14% | 11 Feb → | ||
| 13–9 | -0.05 | 16% | 11 Feb → | ||
| 4–13 | -0.08 | 18% | 11 Feb → | ||
| 13–9 | 0.02 | 11% | 11 Feb → | ||
| 13–9 | -0.00 | 19% | 5 Feb → | ||
| alpine | 13–3 | 0.00 | 25% | 4 Feb → | |
| 13–7 | 0.03 | 18% | 3 Feb → | ||
| stronghold | 9–13 | -0.06 | 75% | 3 Feb → | |
| 11–13 | -0.03 | 14% | 3 Feb → | ||
| 13–11 | -0.01 | 9% | 3 Feb → | ||
| 13–5 | -0.02 | 22% | 3 Feb → | ||
| 4–13 | -0.09 | 21% | 2 Feb → | ||
| 10–13 | -0.00 | 15% | 1 Feb → | ||
| 16–14 | -0.05 | 22% | 29 Jan → | ||
| 13–7 | -0.07 | 22% | 27 Jan → | ||
| 7–13 | -0.08 | 10% | 25 Jan → | ||
| 13–5 | 0.07 | 13% | 23 Jan → | ||
| 5–13 | -0.02 | 28% | 23 Jan → | ||
| 4–13 | -0.09 | 4% | 23 Jan → | ||
| 15–15 | -0.03 | 19% | 23 Jan → | ||
| 13–16 | 0.06 | 14% | 22 Jan → | ||
| office | 7–13 | -0.02 | 11% | 20 Jan → | |
| 11–13 | -0.05 | 3% | 18 Jan → | ||
| 10–13 | -0.07 | 16% | 16 Jan → | ||
| 11–13 | -0.05 | 10% | 15 Jan → | ||
| 13–7 | -0.08 | 10% | 12 Jan → | ||
| 8–13 | 0.02 | 13% | 12 Jan → | ||
| 13–4 | 0.01 | 8% | 9 Jan → | ||
| 13–6 | 0.05 | 27% | 2 Jan → | ||
| 13–7 | -0.00 | 4% | 2 Jan → | ||
| 13–6 | -0.03 | 8% | 25 Dec → | ||
| 13–8 | -0.00 | 9% | 25 Dec → | ||
| 8–13 | -0.02 | 16% | 2 Dec → | ||
| 13–11 | -0.06 | 3% | 2 Dec → | ||
| 13–7 | -0.00 | 17% | 22 Nov → | ||
| 13–9 | -0.07 | 15% | 12 Nov → | ||
| 13–3 | -0.03 | 8% | 12 Nov → | ||
| 12–16 | -0.04 | 12% | 5 Nov → | ||
| 13–10 | 0.05 | 21% | 5 Nov → | ||
| 14–16 | -0.07 | 15% | 5 Nov → | ||
| 10–13 | -0.07 | 19% | 29 Oct → | ||
| 10–13 | -0.04 | 8% | 29 Oct → | ||
| 13–8 | -0.01 | 16% | 27 Oct → | ||
| 13–9 | 0.02 | 10% | 26 Oct → | ||
| 29–31 | -0.05 | 15% | 10 Oct → | ||
| 4–13 | -0.06 | 9% | 1 Oct → | ||
| 16–12 | -0.03 | 9% | 26 Sept → | ||
| 4–13 | -0.05 | 13% | 22 Sept → | ||
| 22–19 | 0.01 | 10% | 21 Sept → | ||
| 13–9 | 0.00 | 22% | 19 Sept → | ||
| 16–12 | 0.00 | 8% | 10 Sept → | ||
| 13–7 | -0.03 | 13% | 10 Sept → | ||
| 10–13 | -0.01 | 10% | 10 Sept → | ||
| 10–13 | -0.04 | 12% | 7 Sept → | ||
| 13–11 | -0.04 | 28% | 26 Aug → | ||
| 13–7 | 0.07 | 16% | 20 Aug → | ||
| 8–13 | -0.03 | 11% | 18 Aug → | ||
| 13–9 | -0.01 | 6% | 18 Aug → | ||
| 11–13 | -0.05 | 21% | 17 Aug → | ||
| 13–9 | 0.02 | 15% | 9 Aug → | ||
| 11–13 | -0.04 | 11% | 9 Aug → | ||
| 11–13 | 0.03 | 11% | 9 Aug → | ||
| 13–10 | -0.01 | 9% | 4 Aug → | ||
| 16–13 | -0.01 | 17% | 2 Aug → | ||
| grail | 12–12 | -0.04 | 19% | 29 Jul → | |
| jura | 13–1 | 0.02 | 11% | 29 Jul → | |
| 13–4 | -0.03 | 5% | 29 Jul → | ||
| 13–6 | -0.02 | 12% | 28 Jul → | ||
| 10–13 | 0.02 | 14% | 28 Jul → | ||
| 13–5 | -0.02 | 17% | 26 Jul → |
Match data via Leetify.