Charlie Osswald — CS2 Stats
76561198074785131[U:1:114519403]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 Twistzz 86% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower aim profile; lower 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
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. 717ms 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 5.6/10 (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 |
|---|---|---|---|---|---|
| B | 40 | 18–22 | 45% | -0.01 | |
| A | 11 | 6–5 | 55% | -0.01 | |
| A | 11 | 7–4 | 64% | -0.02 | |
| A | 11 | 6–5 | 55% | -0.02 | |
| A | 9 | 5–4 | 56% | -0.04 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| D | 7 | 1–6 | 14% | -0.03 | |
| — | 3 | 2–1 | 67% | -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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 10 | 20% | 1.10 | 14.0 |
| Mirage | 7 | 57% | 1.07 | 13.3 |
| Overpass | 7 | 86% | 1.47 | 15.9 |
| Nuke | 6 | 50% | 0.84 | 14.7 |
| Anubis | 4 | 75% | 0.79 | 13.8 |
| Vertigo | 3 | 67% | 0.87 | 12.0 |
| Dust2 | 1 | 100% | 1.00 | 22.0 |
| Inferno | 1 | 0% | 0.25 | 1.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- 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 717.2885ms — above the 700ms mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 35.4234% — below the 40% mark we flag
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 | |
|---|---|---|---|---|---|
| 13–10 | 0.01 | 11% | 24 Aug → | ||
| 13–5 | 0.08 | 22% | 24 Aug → | ||
| 13–8 | -0.03 | 18% | 23 Aug → | ||
| 13–7 | 0.07 | 11% | 23 Aug → | ||
| 13–10 | -0.04 | 20% | 23 Aug → | ||
| 3–13 | -0.04 | 17% | 23 Aug → | ||
| 13–1 | 0.05 | 29% | 19 Aug → | ||
| 13–8 | 0.04 | 24% | 19 Aug → | ||
| 8–13 | -0.03 | 27% | 4 Aug → | ||
| 13–2 | -0.02 | 4% | 4 Aug → | ||
| 6–13 | -0.06 | 8% | 3 Aug → | ||
| 13–8 | -0.01 | 28% | 3 Aug → | ||
| 4–13 | -0.02 | 23% | 3 Aug → | ||
| 10–13 | 0.03 | 16% | 3 Aug → | ||
| 5–13 | -0.09 | 11% | 3 Aug → | ||
| 13–5 | 0.05 | 25% | 2 Aug → | ||
| 13–6 | 0.04 | 14% | 2 Aug → | ||
| 13–6 | 0.02 | 21% | 2 Aug → | ||
| 15–15 | -0.05 | 12% | 31 Jul → | ||
| 13–9 | -0.01 | 20% | 31 Jul → | ||
| 13–3 | 0.02 | 18% | 31 Jul → | ||
| 10–13 | -0.01 | 6% | 28 Jul → | ||
| 16–14 | -0.04 | 12% | 28 Jul → | ||
| 9–13 | 0.03 | 17% | 28 Jul → | ||
| 11–13 | -0.05 | 14% | 26 Jul → | ||
| 13–8 | 0.02 | 23% | 26 Jul → | ||
| 13–3 | -0.00 | 29% | 26 Jul → | ||
| 7–13 | -0.06 | 26% | 24 Jul → | ||
| 7–13 | -0.01 | 16% | 24 Jul → | ||
| 7–13 | -0.09 | 12% | 24 Jul → | ||
| 13–9 | -0.03 | 13% | 22 Jul → | ||
| 9–13 | -0.07 | 10% | 22 Jul → | ||
| 13–4 | 0.16 | 15% | 22 Jul → | ||
| 7–13 | 0.08 | 23% | 12 Jul → | ||
| 5–13 | -0.01 | 14% | 12 Jul → | ||
| 15–15 | -0.04 | 10% | 12 Jul → | ||
| 3–13 | -0.08 | 17% | 9 Jul → | ||
| 12–16 | 0.01 | 10% | 9 Jul → | ||
| 13–11 | -0.05 | 8% | 9 Jul → | ||
| 11–13 | 0.02 | 11% | 6 Jul → | ||
| 13–5 | 0.01 | 10% | 5 Jul → | ||
| 7–13 | -0.04 | 13% | 5 Jul → | ||
| 11–13 | -0.03 | 15% | 5 Jul → | ||
| 7–13 | -0.01 | 13% | 5 Jul → | ||
| 9–13 | -0.01 | 18% | 14 Jun → | ||
| 13–11 | -0.04 | 7% | 14 Jun → | ||
| 13–9 | -0.06 | 11% | 14 Jun → | ||
| 11–13 | 0.01 | 26% | 13 Jun → | ||
| 13–11 | -0.03 | 7% | 13 Jun → | ||
| 15–15 | -0.04 | 13% | 13 Jun → | ||
| 8–13 | -0.04 | 11% | 13 Jun → | ||
| 12–3 | 0.03 | 13% | 14 May → | ||
| 13–7 | -0.08 | 24% | 14 May → | ||
| 6–13 | -0.03 | 21% | 14 May → | ||
| 13–5 | 0.02 | 36% | 14 May → | ||
| 9–13 | -0.04 | 9% | 30 Apr → | ||
| 13–3 | -0.04 | 26% | 30 Apr → | ||
| 13–10 | -0.01 | 10% | 30 Apr → | ||
| 4–13 | -0.01 | 17% | 23 Apr → | ||
| 9–13 | -0.05 | 9% | 28 Mar → | ||
| 11–13 | -0.01 | 14% | 25 Mar → | ||
| 13–8 | 0.04 | 11% | 25 Mar → | ||
| 13–11 | -0.00 | 15% | 20 Mar → | ||
| 11–13 | 0.01 | 12% | 20 Mar → | ||
| 13–4 | 0.03 | 14% | 20 Mar → | ||
| 13–10 | -0.02 | 12% | 13 Mar → | ||
| 13–9 | -0.03 | 20% | 13 Mar → | ||
| 13–3 | 0.06 | 9% | 13 Mar → | ||
| 3–13 | -0.05 | 17% | 13 Mar → | ||
| 8–13 | 0.00 | 23% | 3 Mar → | ||
| 13–5 | -0.06 | 9% | 3 Mar → | ||
| 8–13 | -0.09 | 3% | 1 Mar → | ||
| 15–15 | -0.01 | 18% | 28 Feb → | ||
| 6–13 | -0.06 | 17% | 28 Feb → | ||
| 11–13 | -0.06 | 23% | 28 Feb → | ||
| 13–9 | 0.02 | 21% | 27 Feb → | ||
| 13–10 | -0.03 | 20% | 27 Feb → | ||
| 3–7 | 0.03 | 71% | 22 Feb → | ||
| 13–5 | -0.01 | 14% | 22 Feb → | ||
| 13–8 | -0.00 | 13% | 22 Feb → | ||
| 8–13 | -0.03 | 33% | 21 Feb → | ||
| 13–5 | 0.05 | 14% | 21 Feb → | ||
| 13–7 | 0.03 | 13% | 21 Feb → | ||
| 11–13 | -0.01 | 10% | 21 Feb → | ||
| 10–13 | -0.04 | 9% | 20 Feb → | ||
| 7–13 | -0.02 | 29% | 20 Feb → | ||
| 13–9 | -0.06 | 6% | 16 Feb → | ||
| 5–12 | -0.08 | 24% | 16 Feb → | ||
| 15–15 | -0.04 | 13% | 15 Feb → | ||
| 8–13 | -0.03 | 15% | 15 Feb → | ||
| 13–11 | 0.04 | 15% | 15 Feb → | ||
| 11–13 | -0.07 | 14% | 13 Feb → | ||
| 13–5 | 0.05 | 18% | 13 Feb → | ||
| 11–13 | -0.04 | 3% | 13 Feb → | ||
| 4–13 | -0.05 | 13% | 11 Feb → | ||
| 13–10 | -0.00 | 13% | 11 Feb → | ||
| 16–14 | -0.03 | 9% | 8 Feb → | ||
| 3–13 | -0.06 | 13% | 8 Feb → | ||
| 13–8 | -0.05 | 20% | 7 Feb → | ||
| 13–11 | -0.02 | 13% | 7 Feb → |
Match data via Leetify.