MesesD — CS2 Stats
HU76561198114423976[U:1:154158248]Steam profile ↗
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 | 46.0% | 52.8% |
| Shot accuracy | 12.2% | 13.7% |
| Kill/death ratio | 1.14 | 1.08 |
| Match win rate | 42.2% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 91% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim profile; lower positioning 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
Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.
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 5.7/10 (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 |
|---|---|---|---|---|---|
 inferno | B | 26 | 14–12 | 54% | 0.02 |
 mirage | B | 25 | 13–12 | 52% | 0.02 |
 ancient | B | 20 | 10–10 | 50% | 0.02 |
 dust2 | S | 12 | 9–3 | 75% | 0.01 |
 anubis | A | 11 | 7–4 | 64% | 0.01 |
 nuke | — | 4 | 3–1 | 75% | -0.02 |
 cache | — | 2 | 0–2 | 0% | -0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (50% over 20). Start with the 6 essential Ancient 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 242 | 48% | 1.00 | 15.6 |
| Inferno | 194 | 55% | 1.06 | 16.3 |
| Ancient | 191 | 53% | 1.01 | 16.5 |
| Dust2 | 159 | 51% | 1.05 | 16.9 |
| Anubis | 133 | 48% | 0.99 | 16.0 |
| Overpass | 34 | 44% | 1.09 | 16.5 |
| Nuke | 32 | 41% | 0.95 | 15.2 |
| Train | 24 | 46% | 0.94 | 16.3 |
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 32.5993% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–10 | 0.00 | 16% | 26 Aug → | |
| mirage | 13–10 | -0.02 | 13% | 25 Aug → | |
| ancient | 13–4 | 0.05 | 35% | 23 Aug → | |
| mirage | 5–13 | -0.01 | 30% | 23 Aug → | |
| inferno | 13–7 | -0.05 | 23% | 23 Aug → | |
| dust2 | 16–13 | 0.00 | 17% | 22 Aug → | |
| inferno | 6–13 | -0.07 | 13% | 20 Aug → | |
| anubis | 13–7 | 0.06 | 9% | 20 Aug → | |
| anubis | 13–6 | 0.05 | 16% | 20 Aug → | |
| inferno | 9–13 | 0.05 | 31% | 20 Aug → | |
| inferno | 13–9 | 0.00 | 16% | 19 Aug → | |
| ancient | 7–13 | 0.00 | 19% | 18 Aug → | |
| ancient | 10–13 | -0.07 | 13% | 17 Aug → | |
| ancient | 6–13 | -0.01 | 12% | 15 Aug → | |
| inferno | 13–11 | 0.02 | 19% | 15 Aug → | |
| mirage | 13–4 | 0.03 | 14% | 15 Aug → | |
| mirage | 11–13 | 0.00 | 19% | 15 Aug → | |
| anubis | 3–13 | 0.02 | 19% | 15 Aug → | |
| mirage | 9–13 | -0.04 | 18% | 15 Aug → | |
| inferno | 5–0 | -0.00 | 30% | 15 Aug → | |
| inferno | 11–13 | 0.02 | 24% | 15 Aug → | |
| dust2 | 16–12 | 0.01 | 16% | 14 Aug → | |
| mirage | 5–13 | 0.10 | 18% | 13 Aug → | |
| inferno | 7–1 | 0.07 | 33% | 13 Aug → | |
| inferno | 13–5 | 0.09 | 12% | 12 Aug → | |
| anubis | 13–11 | -0.03 | 10% | 11 Aug → | |
| inferno | 9–13 | 0.02 | 16% | 10 Aug → | |
| mirage | 4–13 | -0.09 | 8% | 10 Aug → | |
| anubis | 13–11 | -0.01 | 15% | 10 Aug → | |
| mirage | 12–16 | -0.04 | 10% | 9 Aug → | |
| anubis | 9–13 | 0.02 | 11% | 9 Aug → | |
| ancient | 17–19 | -0.02 | 8% | 6 Aug → | |
| nuke | 7–13 | -0.02 | 11% | 5 Aug → | |
| dust2 | 13–5 | 0.04 | 13% | 5 Aug → | |
| anubis | 13–16 | 0.01 | 14% | 5 Aug → | |
| ancient | 13–6 | 0.03 | 17% | 3 Aug → | |
| inferno | 13–7 | 0.03 | 15% | 2 Aug → | |
| inferno | 13–1 | 0.05 | 18% | 2 Aug → | |
| mirage | 8–13 | 0.09 | 13% | 2 Aug → | |
| ancient | 5–13 | 0.06 | 21% | 2 Aug → | |
| anubis | 5–13 | -0.06 | 10% | 2 Aug → | |
| ancient | 13–11 | -0.04 | 6% | 1 Aug → | |
| mirage | 13–1 | 0.13 | 15% | 1 Aug → | |
| dust2 | 6–13 | -0.00 | 16% | 31 Jul → | |
| dust2 | 16–12 | 0.05 | 14% | 31 Jul → | |
| ancient | 9–13 | 0.01 | 7% | 29 Jul → | |
| inferno | 1–13 | -0.06 | 13% | 26 Jul → | |
| mirage | 13–10 | -0.02 | 16% | 26 Jul → | |
| inferno | 13–9 | 0.06 | 18% | 26 Jul → | |
| ancient | 13–7 | 0.01 | 15% | 23 Jul → | |
| inferno | 13–7 | 0.05 | 15% | 22 Jul → | |
| dust2 | 13–6 | -0.04 | 17% | 20 Jul → | |
| ancient | 10–13 | 0.01 | 14% | 20 Jul → | |
| inferno | 14–16 | 0.04 | 13% | 20 Jul → | |
| mirage | 13–3 | 0.01 | 18% | 19 Jul → | |
| nuke | 13–7 | -0.02 | 10% | 18 Jul → | |
| mirage | 8–13 | 0.07 | 12% | 18 Jul → | |
| ancient | 13–4 | 0.10 | 8% | 18 Jul → | |
| cache | 12–16 | -0.01 | 12% | 17 Jul → | |
| inferno | 13–10 | -0.03 | 14% | 16 Jul → | |
| ancient | 13–11 | 0.09 | 14% | 16 Jul → | |
| mirage | 7–13 | 0.01 | 15% | 14 Jul → | |
| ancient | 13–10 | 0.05 | 23% | 14 Jul → | |
| inferno | 5–13 | 0.02 | 16% | 14 Jul → | |
| mirage | 13–10 | 0.05 | 19% | 14 Jul → | |
| mirage | 13–1 | 0.05 | 5% | 13 Jul → | |
| dust2 | 16–12 | 0.03 | 18% | 13 Jul → | |
| anubis | 13–4 | 0.06 | 30% | 13 Jul → | |
| mirage | 13–7 | 0.08 | 18% | 13 Jul → | |
| inferno | 11–13 | -0.02 | 17% | 10 Jul → | |
| mirage | 13–8 | -0.01 | 14% | 10 Jul → | |
| mirage | 11–13 | 0.03 | 24% | 10 Jul → | |
| inferno | 13–3 | 0.10 | 20% | 10 Jul → | |
| dust2 | 8–13 | 0.03 | 15% | 9 Jul → | |
| cache | 12–16 | -0.05 | 20% | 9 Jul → | |
| inferno | 8–13 | 0.03 | 14% | 9 Jul → | |
| mirage | 11–13 | 0.03 | 24% | 7 Jul → | |
| mirage | 13–7 | -0.03 | 41% | 7 Jul → | |
| inferno | 13–4 | 0.03 | 14% | 6 Jul → | |
| ancient | 10–13 | 0.03 | 14% | 6 Jul → | |
| mirage | 13–16 | -0.00 | 14% | 6 Jul → | |
| dust2 | 13–6 | 0.03 | 22% | 5 Jul → | |
| mirage | 13–10 | 0.03 | 16% | 5 Jul → | |
| mirage | 13–7 | 0.03 | 14% | 5 Jul → | |
| ancient | 7–13 | 0.02 | 17% | 5 Jul → | |
| inferno | 9–13 | -0.07 | 12% | 5 Jul → | |
| ancient | 13–11 | 0.00 | 22% | 5 Jul → | |
| dust2 | 2–13 | -0.01 | 26% | 5 Jul → | |
| mirage | 13–8 | 0.09 | 16% | 3 Jul → | |
| inferno | 13–10 | 0.04 | 16% | 1 Jul → | |
| ancient | 13–3 | 0.03 | 40% | 30 Jun → | |
| dust2 | 13–11 | 0.01 | 37% | 29 Jun → | |
| nuke | 13–9 | -0.04 | 12% | 29 Jun → | |
| inferno | 14–16 | 0.01 | 23% | 27 Jun → | |
| dust2 | 7–1 | -0.03 | 18% | 27 Jun → | |
| anubis | 13–4 | 0.05 | 12% | 26 Jun → | |
| ancient | 11–13 | 0.01 | 19% | 26 Jun → | |
| anubis | 16–12 | -0.02 | 14% | 25 Jun → | |
| ancient | 13–11 | 0.02 | 18% | 25 Jun → | |
| inferno | 12–16 | -0.03 | 21% | 25 Jun → |
Match data via Leetify.