Mentalis — CS2 Stats
76561198306867835[U:1:346602107]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 59.5% | 44.9% | 46.2% | above |
| Shot accuracy | 19.0% | 11.8% | 12.5% | above |
| Kill/death ratio | 0.98 | 1.04 | 1.06 | 0.08 short |
| Match win rate | 46.1% | 45.3% | 45.9% | meets |
This profile matches the typical Level 7 player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 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 · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 sh1ro 94% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 88 — the mechanical foundation is a clear strength.
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. 586ms 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 7.0/10 (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 |
|---|---|---|---|---|---|
| D | 28 | 9–19 | 32% | 0.07 | |
| C | 15 | 6–9 | 40% | 0.03 | |
| D | 14 | 4–10 | 29% | 0.02 | |
| B | 13 | 7–6 | 54% | -0.00 | |
| C | 10 | 4–6 | 40% | 0.07 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| rooftop | C | 5 | 2–3 | 40% | 0.08 |
| — | 3 | 1–2 | 33% | 0.00 | |
| debris | — | 1 | 0–1 | 0% | 0.04 |
| poseidon | — | 1 | 0–1 | 0% | -0.09 |
| — | 1 | 0–1 | 0% | -0.00 | |
| — | 1 | 0–1 | 0% | 0.04 | |
| golden | — | 1 | 0–1 | 0% | 0.06 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Nuke 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 7 | 71% | 1.09 | 17.6 |
| Dust2 | 5 | 60% | 1.43 | 20.2 |
| Anubis | 1 | 100% | 3.00 | 15.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.01 | 20% | 27 Aug → | ||
| 11–13 | 0.06 | 19% | 27 Aug → | ||
| 9–6 | 0.10 | 16% | 27 Aug → | ||
| 4–9 | 0.04 | 52% | 27 Aug → | ||
| 13–9 | -0.00 | 33% | 25 Aug → | ||
| 8–13 | 0.05 | 37% | 25 Aug → | ||
| 13–9 | 0.06 | 28% | 25 Aug → | ||
| 7–13 | 0.04 | 27% | 25 Aug → | ||
| 9–7 | 0.16 | 16% | 23 Aug → | ||
| 5–13 | -0.04 | 40% | 23 Aug → | ||
| 7–13 | -0.06 | 22% | 23 Aug → | ||
| 13–11 | -0.03 | 21% | 23 Aug → | ||
| 9–13 | 0.01 | 26% | 23 Aug → | ||
| 13–7 | -0.00 | 20% | 23 Aug → | ||
| 13–6 | 0.08 | 21% | 23 Aug → | ||
| 13–1 | 0.12 | 33% | 23 Aug → | ||
| 13–11 | 0.08 | 19% | 20 Aug → | ||
| 13–9 | 0.02 | 16% | 20 Aug → | ||
| 5–13 | 0.05 | 44% | 20 Aug → | ||
| 9–4 | 0.26 | 53% | 20 Aug → | ||
| 6–9 | 0.07 | 37% | 20 Aug → | ||
| 12–12 | 0.01 | 18% | 19 Aug → | ||
| 13–11 | -0.04 | 23% | 19 Aug → | ||
| 13–9 | 0.07 | 14% | 19 Aug → | ||
| 5–13 | -0.02 | 10% | 18 Aug → | ||
| 9–13 | 0.04 | 16% | 18 Aug → | ||
| 13–9 | 0.13 | 22% | 18 Aug → | ||
| 3–9 | -0.01 | 17% | 16 Aug → | ||
| debris | 2–9 | 0.04 | 28% | 16 Aug → | |
| poseidon | 2–9 | -0.09 | 38% | 16 Aug → | |
| 8–8 | 0.24 | 39% | 16 Aug → | ||
| 1–9 | -0.07 | 13% | 16 Aug → | ||
| 6–9 | -0.03 | 26% | 16 Aug → | ||
| 11–13 | 0.15 | 24% | 16 Aug → | ||
| 12–12 | -0.00 | 27% | 16 Aug → | ||
| 9–13 | -0.00 | 23% | 15 Aug → | ||
| 3–13 | -0.04 | 23% | 15 Aug → | ||
| 10–13 | 0.12 | 33% | 15 Aug → | ||
| 4–9 | 0.02 | 26% | 21 Jul → | ||
| 9–6 | 0.15 | 34% | 21 Jul → | ||
| 7–9 | 0.12 | 27% | 20 Jul → | ||
| 6–9 | 0.09 | 30% | 20 Jul → | ||
| 1–9 | -0.09 | 14% | 20 Jul → | ||
| 9–6 | 0.21 | 19% | 19 Jul → | ||
| 5–9 | 0.09 | 41% | 19 Jul → | ||
| 9–2 | 0.22 | 26% | 19 Jul → | ||
| 4–9 | 0.10 | 27% | 19 Jul → | ||
| 2–9 | -0.09 | 17% | 19 Jul → | ||
| 4–9 | 0.07 | 33% | 7 May → | ||
| 15–15 | -0.01 | 22% | 9 Apr → | ||
| 13–8 | 0.10 | 24% | 9 Apr → | ||
| 13–9 | 0.02 | 11% | 29 Mar → | ||
| 10–13 | -0.01 | 21% | 29 Mar → | ||
| 13–7 | 0.01 | 19% | 29 Mar → | ||
| 10–13 | -0.05 | 24% | 28 Mar → | ||
| 13–11 | 0.00 | 24% | 20 Mar → | ||
| 4–13 | -0.10 | 40% | 20 Mar → | ||
| 3–13 | -0.05 | 23% | 20 Mar → | ||
| 10–13 | 0.03 | 28% | 20 Mar → | ||
| 13–7 | 0.03 | 29% | 20 Mar → | ||
| 7–5 | -0.08 | 14% | 20 Mar → | ||
| 8–8 | 0.07 | 28% | 25 Feb → | ||
| 10–13 | -0.03 | 18% | 25 Feb → | ||
| 7–13 | -0.01 | 8% | 24 Feb → | ||
| 3–9 | 0.03 | 22% | 24 Feb → | ||
| rooftop | 8–8 | 0.11 | 24% | 19 Oct → | |
| 1–9 | -0.15 | 13% | 19 Oct → | ||
| 9–5 | 0.10 | 24% | 19 Oct → | ||
| 9–4 | 0.14 | 23% | 19 Oct → | ||
| 3–9 | 0.09 | 28% | 19 Oct → | ||
| 6–9 | 0.04 | 34% | 19 Oct → | ||
| 7–13 | 0.06 | 24% | 19 Oct → | ||
| 13–9 | 0.02 | 18% | 19 Oct → | ||
| 6–9 | 0.06 | 35% | 19 Oct → | ||
| 9–4 | 0.20 | 27% | 19 Oct → | ||
| 8–8 | 0.13 | 20% | 19 Oct → | ||
| rooftop | 7–9 | 0.12 | 21% | 19 Oct → | |
| 13–10 | 0.05 | 36% | 17 Oct → | ||
| 13–2 | 0.03 | 20% | 17 Oct → | ||
| rooftop | 8–7 | 0.01 | 24% | 17 Oct → | |
| 2–9 | -0.04 | 30% | 17 Oct → | ||
| 0–9 | -0.13 | 11% | 17 Oct → | ||
| 9–6 | 0.12 | 15% | 17 Oct → | ||
| 7–13 | 0.03 | 25% | 16 Oct → | ||
| 13–5 | 0.09 | 25% | 16 Oct → | ||
| 9–4 | 0.16 | 58% | 16 Oct → | ||
| 3–9 | -0.09 | 23% | 16 Oct → | ||
| 0–13 | 0.00 | 29% | 14 Oct → | ||
| 11–13 | -0.03 | 19% | 14 Oct → | ||
| 9–1 | 0.04 | 25% | 14 Oct → | ||
| 9–7 | 0.04 | 19% | 14 Oct → | ||
| 8–8 | 0.09 | 27% | 13 Oct → | ||
| rooftop | 3–9 | -0.07 | 26% | 13 Oct → | |
| 5–9 | -0.00 | 35% | 13 Oct → | ||
| 8–8 | 0.12 | 35% | 13 Oct → | ||
| 4–9 | -0.01 | 13% | 13 Oct → | ||
| 7–9 | -0.00 | 35% | 13 Oct → | ||
| golden | 10–13 | 0.06 | 21% | 13 Oct → | |
| 3–13 | -0.06 | 19% | 13 Oct → | ||
| rooftop | 9–3 | 0.25 | 21% | 13 Oct → |
Match data via Leetify.