McLasse69 — CS2 Stats
76561198259344322[U:1:299078594]✓ No bans
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 49.6% | 52.8% | 3.2% short |
| Shot accuracy | 19.7% | 13.7% | above |
| Kill/death ratio | 1.09 | 1.08 | meets |
| Match win rate | 46.0% | 49.2% | 3.2% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 10 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: +30pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 88% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower opening-duel success; 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
Strengths
Aim. Aim score of 85 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 38% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 631ms 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 6.1/10 (Solid), 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 |
|---|---|---|---|---|---|
 mirage | B | 28 | 15–13 | 54% | 0.04 |
 overpass | B | 15 | 8–7 | 53% | 0.05 |
 nuke | A | 13 | 8–5 | 62% | 0.02 |
 inferno | D | 12 | 4–8 | 33% | 0.01 |
 anubis | A | 11 | 7–4 | 64% | 0.04 |
 ancient | C | 7 | 3–4 | 43% | 0.01 |
 vertigo | A | 5 | 3–2 | 60% | 0.02 |
 train | — | 4 | 2–2 | 50% | 0.03 |
 dust2 | — | 3 | 1–2 | 33% | 0.04 |
 cache | — | 1 | 0–1 | 0% | 0.02 |
| office | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 6 | 50% | 1.11 | 12.7 |
| Inferno | 3 | 33% | 1.16 | 17.7 |
| Anubis | 3 | 67% | 1.18 | 15.0 |
| Ancient | 3 | 67% | 0.67 | 13.7 |
| Nuke | 3 | 100% | 1.25 | 13.3 |
| Overpass | 2 | 100% | 1.54 | 20.0 |
| Dust2 | 2 | 0% | 1.14 | 17.0 |
| Cache | 1 | 0% | 0.85 | 11.0 |
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.
- 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 22.8901% — 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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–8 | -0.04 | 22% | 29 Jun → | |
| inferno | 7–13 | 0.04 | 22% | 29 Jun → | |
| anubis | 13–10 | 0.09 | 23% | 29 Jun → | |
| nuke | 13–4 | 0.07 | 32% | 29 Jun → | |
| mirage | 13–6 | 0.02 | 20% | 29 Jun → | |
| nuke | 13–10 | -0.02 | 28% | 28 Jun → | |
| nuke | 13–10 | -0.00 | 24% | 23 Jun → | |
| cache | 7–13 | 0.02 | 36% | 17 Jun → | |
| mirage | 8–13 | 0.06 | 27% | 17 Jun → | |
| overpass | 13–7 | 0.03 | 25% | 26 Apr → | |
| anubis | 3–13 | -0.04 | 30% | 26 Apr → | |
| anubis | 13–11 | 0.05 | 18% | 23 Mar → | |
| mirage | 13–8 | 0.09 | 20% | 6 Dec → | |
| inferno | 6–13 | -0.07 | 26% | 29 Nov → | |
| mirage | 13–11 | 0.06 | 24% | 29 Nov → | |
| inferno | 5–13 | -0.03 | 35% | 21 Nov → | |
| ancient | 13–16 | 0.08 | 32% | 21 Nov → | |
| nuke | 8–13 | -0.03 | 21% | 20 Nov → | |
| overpass | 4–13 | -0.07 | 17% | 10 Nov → | |
| nuke | 16–14 | 0.01 | 26% | 10 Nov → | |
| overpass | 13–3 | 0.12 | 21% | 8 Nov → | |
| mirage | 15–15 | 0.09 | 20% | 8 Nov → | |
| mirage | 2–13 | 0.00 | 23% | 26 Oct → | |
| mirage | 10–13 | 0.01 | 16% | 14 Oct → | |
| nuke | 8–13 | -0.06 | 14% | 13 Oct → | |
| mirage | 11–7 | -0.01 | 31% | 13 Oct → | |
| overpass | 13–5 | 0.05 | 26% | 13 Oct → | |
| nuke | 13–4 | 0.07 | 12% | 13 Oct → | |
| mirage | 11–13 | -0.02 | 13% | 11 Oct → | |
| ancient | 7–13 | 0.01 | 30% | 11 Oct → | |
| train | 4–7 | 0.03 | 30% | 11 Oct → | |
| inferno | 8–13 | 0.07 | 26% | 10 Oct → | |
| overpass | 10–13 | 0.00 | 34% | 10 Oct → | |
| mirage | 16–13 | 0.06 | 34% | 27 Sept → | |
| overpass | 11–13 | 0.04 | 24% | 20 Jul → | |
| overpass | 11–13 | -0.00 | 16% | 19 Jul → | |
| inferno | 1–13 | 0.01 | 23% | 19 Jul → | |
| mirage | 13–10 | -0.03 | 13% | 18 Jul → | |
| anubis | 9–13 | -0.03 | 26% | 15 Jul → | |
| mirage | 11–13 | -0.00 | 32% | 15 Jul → | |
| overpass | 12–12 | 0.05 | 31% | 15 Jul → | |
| mirage | 12–12 | 0.04 | 30% | 4 Jul → | |
| anubis | 13–10 | 0.14 | 22% | 25 Jun → | |
| anubis | 13–2 | 0.10 | 36% | 25 Jun → | |
| vertigo | 9–13 | 0.02 | 19% | 24 Jun → | |
| mirage | 13–9 | 0.06 | 22% | 24 Jun → | |
| inferno | 13–8 | 0.05 | 23% | 24 Jun → | |
| inferno | 0–6 | -0.03 | 33% | 24 Jun → | |
| dust2 | 4–13 | 0.02 | 37% | 15 Jun → | |
| nuke | 7–13 | 0.00 | 20% | 9 Jun → | |
| dust2 | 13–8 | 0.06 | 33% | 9 Jun → | |
| nuke | 7–13 | -0.03 | 29% | 9 Jun → | |
| mirage | 8–13 | 0.03 | 35% | 31 May → | |
| overpass | 6–13 | 0.05 | 38% | 29 May → | |
| mirage | 13–3 | 0.05 | 24% | 29 May → | |
| overpass | 13–10 | 0.02 | 22% | 17 May → | |
| train | 3–13 | 0.03 | 17% | 17 May → | |
| ancient | 4–13 | -0.05 | 0% | 15 May → | |
| mirage | 13–0 | 0.00 | 13% | 15 May → | |
| ancient | 13–7 | 0.03 | 20% | 15 May → | |
| ancient | 6–13 | -0.05 | 25% | 12 May → | |
| anubis | 13–10 | -0.03 | 33% | 12 May → | |
| inferno | 13–9 | 0.12 | 38% | 8 Mar → | |
| anubis | 8–13 | 0.07 | 17% | 21 Feb → | |
| overpass | 13–6 | 0.16 | 22% | 21 Feb → | |
| overpass | 13–4 | 0.06 | 22% | 14 Feb → | |
| mirage | 5–13 | -0.00 | 19% | 14 Feb → | |
| overpass | 6–11 | 0.04 | 19% | 8 Feb → | |
| nuke | 13–16 | 0.01 | 36% | 8 Feb → | |
| ancient | 13–10 | 0.05 | 24% | 8 Feb → | |
| nuke | 13–4 | 0.05 | 32% | 8 Feb → | |
| inferno | 10–13 | 0.01 | 26% | 8 Feb → | |
| dust2 | 9–13 | 0.05 | 25% | 8 Feb → | |
| mirage | 3–13 | -0.03 | 16% | 8 Feb → | |
| mirage | 13–6 | 0.16 | 29% | 8 Feb → | |
| mirage | 13–9 | 0.21 | 20% | 7 Feb → | |
| vertigo | 8–13 | -0.00 | 31% | 7 Feb → | |
| nuke | 13–11 | -0.00 | 15% | 7 Feb → | |
| mirage | 13–9 | -0.05 | 33% | 7 Feb → | |
| inferno | 13–11 | -0.02 | 18% | 3 Feb → | |
| anubis | 10–13 | -0.01 | 29% | 2 Feb → | |
| mirage | 4–13 | 0.00 | 23% | 1 Feb → | |
| mirage | 16–13 | 0.09 | 22% | 1 Feb → | |
| inferno | 13–7 | 0.02 | 17% | 1 Feb → | |
| anubis | 13–7 | -0.00 | 23% | 1 Feb → | |
| mirage | 7–13 | -0.01 | 14% | 1 Feb → | |
| train | 13–9 | 0.08 | 32% | 1 Feb → | |
| mirage | 13–5 | 0.05 | 18% | 1 Feb → | |
| vertigo | 5–0 | 0.07 | 29% | 1 Feb → | |
| inferno | 5–13 | -0.03 | 17% | 1 Feb → | |
| vertigo | 13–10 | -0.00 | 25% | 31 Jan → | |
| nuke | 13–2 | 0.13 | 23% | 31 Jan → | |
| train | 13–9 | -0.01 | 24% | 31 Jan → | |
| vertigo | 13–8 | 0.04 | 29% | 31 Jan → | |
| office | 11–13 | 0.03 | 21% | 31 Jan → | |
| anubis | 13–7 | 0.05 | 24% | 31 Jan → | |
| mirage | 12–12 | 0.05 | 22% | 31 Jan → | |
| overpass | 13–9 | 0.08 | 26% | 31 Jan → | |
| mirage | 13–6 | 0.10 | 28% | 31 Jan → | |
| overpass | 13–5 | 0.08 | 11% | 31 Jan → |
Match data via Leetify.