mäga — CS2 Stats
76561198060729828[U:1:100464100]✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,892), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 52.3% | 48.5% | 51.9% | meets |
| Shot accuracy | 14.6% | 13.3% | 13.7% | above |
| Kill/death ratio | 0.97 | 1.07 | 1.08 | 0.11 short |
| Match win rate | 42.5% | 47.0% | 48.7% | 6.2% 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: +20pp win rate · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 86% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 630ms 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 4.7/10 (Developing), 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 |
|---|---|---|---|---|---|
 dust2 | B | 26 | 12–14 | 46% | -0.02 |
 mirage | A | 17 | 10–7 | 59% | 0.01 |
 cache | D | 12 | 4–8 | 33% | 0.00 |
 anubis | B | 12 | 6–6 | 50% | -0.00 |
 nuke | B | 12 | 6–6 | 50% | 0.00 |
 inferno | D | 7 | 0–7 | 0% | -0.03 |
 ancient | C | 5 | 2–3 | 40% | -0.05 |
 overpass | — | 3 | 2–1 | 67% | 0.06 |
 vertigo | — | 2 | 1–1 | 50% | 0.05 |
| fachwerk | — | 1 | 0–1 | 0% | -0.11 |
| boulder | — | 1 | 1–0 | 100% | -0.03 |
 train | — | 1 | 0–1 | 0% | -0.05 |
| italy | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 7). 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 167 | 41% | 0.90 | 14.2 |
| Dust2 | 118 | 58% | 1.07 | 15.8 |
| Inferno | 74 | 45% | 0.97 | 14.3 |
| Nuke | 71 | 49% | 1.08 | 14.3 |
| Anubis | 55 | 53% | 1.03 | 15.2 |
| Ancient | 38 | 39% | 1.04 | 15.5 |
| Overpass | 34 | 59% | 1.12 | 17.6 |
| Cache | 24 | 54% | 0.96 | 15.9 |
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 31.3256% — 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.
0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 4–13 | -0.10 | 16% | 29 Aug → | |
| dust2 | 13–9 | -0.00 | 15% | 26 Aug → | |
| vertigo | 13–4 | 0.05 | 29% | 25 Aug → | |
| cache | 13–10 | 0.02 | 21% | 25 Aug → | |
| dust2 | 0–8 | -0.08 | 0% | 25 Aug → | |
| anubis | 3–13 | -0.04 | 15% | 25 Aug → | |
| mirage | 9–13 | -0.07 | 29% | 17 Aug → | |
| inferno | 1–4 | -0.05 | 100% | 6 Aug → | |
| nuke | 13–10 | 0.11 | 32% | 6 Aug → | |
| nuke | 2–13 | -0.02 | 14% | 2 Aug → | |
| dust2 | 15–15 | -0.04 | 25% | 1 Aug → | |
| dust2 | 4–13 | -0.10 | 0% | 30 Jul → | |
| ancient | 0–3 | -0.07 | 0% | 30 Jul → | |
| inferno | 11–13 | 0.00 | 12% | 28 Jul → | |
| anubis | 11–13 | -0.01 | 17% | 28 Jul → | |
| mirage | 7–13 | -0.04 | 9% | 28 Jul → | |
| dust2 | 13–11 | -0.06 | 14% | 27 Jul → | |
| nuke | 0–3 | -0.09 | 0% | 26 Jul → | |
| anubis | 10–13 | -0.04 | 16% | 26 Jul → | |
| dust2 | 13–4 | -0.01 | 15% | 26 Jul → | |
| dust2 | 11–13 | -0.00 | 22% | 21 Jul → | |
| anubis | 1–3 | 0.04 | 75% | 21 Jul → | |
| dust2 | 13–5 | -0.05 | 19% | 21 Jul → | |
| cache | 13–2 | 0.04 | 16% | 21 Jul → | |
| ancient | 15–15 | -0.01 | 19% | 20 Jul → | |
| anubis | 13–6 | -0.03 | 30% | 20 Jul → | |
| cache | 2–13 | -0.01 | 28% | 17 Jul → | |
| ancient | 13–6 | -0.06 | 33% | 17 Jul → | |
| fachwerk | 4–13 | -0.11 | 20% | 13 Jul → | |
| boulder | 13–7 | -0.03 | 21% | 13 Jul → | |
| cache | 13–11 | -0.01 | 20% | 13 Jul → | |
| mirage | 13–7 | 0.06 | 29% | 12 Jul → | |
| nuke | 13–8 | -0.04 | 22% | 12 Jul → | |
| cache | 7–13 | 0.11 | 32% | 7 Jul → | |
| dust2 | 9–13 | -0.06 | 16% | 7 Jul → | |
| ancient | 16–14 | -0.03 | 23% | 3 Jul → | |
| overpass | 13–2 | 0.05 | 18% | 3 Jul → | |
| mirage | 8–13 | 0.01 | 17% | 3 Jul → | |
| dust2 | 13–7 | 0.02 | 18% | 3 Jul → | |
| nuke | 8–13 | 0.01 | 21% | 3 Jul → | |
| ancient | 0–13 | -0.09 | 11% | 30 Jun → | |
| dust2 | 13–10 | 0.00 | 16% | 29 Jun → | |
| dust2 | 13–3 | -0.01 | 8% | 29 Jun → | |
| inferno | 5–13 | -0.00 | 8% | 28 Jun → | |
| dust2 | 16–12 | -0.03 | 22% | 26 Jun → | |
| dust2 | 10–13 | 0.02 | 22% | 26 Jun → | |
| dust2 | 13–7 | 0.01 | 22% | 22 Jun → | |
| anubis | 13–5 | -0.03 | 13% | 21 Jun → | |
| nuke | 6–4 | 0.00 | 15% | 21 Jun → | |
| train | 10–13 | -0.05 | 20% | 21 Jun → | |
| dust2 | 10–13 | -0.01 | 24% | 20 Jun → | |
| mirage | 13–8 | 0.00 | 16% | 20 Jun → | |
| dust2 | 10–13 | -0.05 | 22% | 20 Jun → | |
| anubis | 13–7 | -0.01 | 26% | 17 Jun → | |
| mirage | 11–13 | -0.04 | 25% | 11 Jun → | |
| mirage | 16–14 | 0.01 | 22% | 10 Jun → | |
| dust2 | 4–13 | -0.05 | 5% | 9 Jun → | |
| dust2 | 13–4 | -0.03 | 23% | 3 Jun → | |
| overpass | 9–13 | 0.05 | 17% | 2 Jun → | |
| mirage | 13–5 | -0.02 | 10% | 2 Jun → | |
| mirage | 13–11 | 0.14 | 16% | 2 Jun → | |
| nuke | 1–13 | -0.06 | 26% | 1 Jun → | |
| dust2 | 10–13 | -0.03 | 10% | 31 May → | |
| mirage | 13–10 | 0.09 | 24% | 29 May → | |
| italy | 11–13 | 0.02 | 20% | 29 May → | |
| nuke | 11–13 | -0.04 | 24% | 29 May → | |
| cache | 6–13 | -0.04 | 18% | 29 May → | |
| dust2 | 10–13 | -0.01 | 29% | 28 May → | |
| inferno | 6–13 | -0.03 | 25% | 26 May → | |
| cache | 6–13 | 0.01 | 26% | 26 May → | |
| nuke | 10–13 | 0.02 | 31% | 23 May → | |
| vertigo | 5–8 | 0.04 | 15% | 21 May → | |
| mirage | 13–9 | -0.02 | 10% | 21 May → | |
| dust2 | 14–16 | -0.03 | 28% | 21 May → | |
| mirage | 19–15 | 0.00 | 22% | 20 May → | |
| mirage | 13–10 | 0.02 | 20% | 18 May → | |
| dust2 | 13–6 | -0.00 | 20% | 18 May → | |
| dust2 | 1–13 | -0.03 | 21% | 18 May → | |
| anubis | 13–6 | 0.00 | 23% | 18 May → | |
| nuke | 13–9 | 0.02 | 22% | 18 May → | |
| anubis | 7–13 | 0.00 | 17% | 18 May → | |
| overpass | 22–19 | 0.08 | 16% | 14 May → | |
| mirage | 10–13 | -0.01 | 16% | 14 May → | |
| anubis | 5–13 | 0.06 | 21% | 14 May → | |
| inferno | 7–13 | 0.02 | 19% | 14 May → | |
| mirage | 9–13 | 0.00 | 18% | 14 May → | |
| dust2 | 10–13 | -0.02 | 23% | 13 May → | |
| cache | 11–13 | -0.03 | 4% | 12 May → | |
| cache | 13–8 | 0.05 | 20% | 10 May → | |
| inferno | 5–13 | -0.04 | 13% | 10 May → | |
| cache | 1–13 | -0.03 | 20% | 10 May → | |
| cache | 10–13 | -0.04 | 43% | 10 May → | |
| anubis | 13–10 | 0.02 | 20% | 9 May → | |
| anubis | 13–4 | 0.01 | 24% | 9 May → | |
| mirage | 7–13 | -0.06 | 18% | 8 May → | |
| nuke | 16–13 | 0.05 | 30% | 8 May → | |
| mirage | 13–11 | 0.04 | 15% | 7 May → | |
| cache | 8–13 | -0.05 | 16% | 6 May → | |
| nuke | 13–5 | 0.06 | 31% | 6 May → | |
| dust2 | 13–8 | 0.08 | 24% | 6 May → |
Match data via Leetify.