Mach1ne- — CS2 Stats
76561198110689756[U:1:150424028]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 | 43.3% | 49.0% | 52.0% | 8.7% short |
| Shot accuracy | 18.0% | 13.1% | 13.7% | above |
| Kill/death ratio | 1.67 | 1.08 | 1.08 | above |
| Match win rate | 53.3% | 46.9% | 48.8% | above |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Headshot 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: +40pp win rate · +0.02 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Effective flashes
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, positioning profile.
Where you differ: 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
Strengths
Flashes. 0.87 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 581ms 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 6.3/10 (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 |
|---|---|---|---|---|---|
 dust2 | A | 73 | 43–30 | 59% | 0.02 |
 cache | S | 9 | 7–2 | 78% | 0.06 |
 nuke | A | 5 | 3–2 | 60% | 0.00 |
 mirage | — | 3 | 1–2 | 33% | 0.01 |
 overpass | — | 3 | 2–1 | 67% | -0.01 |
 train | — | 3 | 1–2 | 33% | -0.02 |
| jura | — | 2 | 2–0 | 100% | 0.01 |
 ancient | — | 1 | 1–0 | 100% | 0.03 |
 vertigo | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (59% over 73). Start with the 6 essential Dust 2 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 5 | 80% | 1.11 | 13.4 |
| Vertigo | 1 | 0% | 0.65 | 11.0 |
| Anubis | 1 | 0% | 1.21 | 17.0 |
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 31.4107% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 9–1 | 0.14 | 17% | 2 Jun → | |
| dust2 | 12–12 | 0.01 | 31% | 31 May → | |
| cache | 13–10 | 0.09 | 21% | 30 May → | |
| dust2 | 13–7 | 0.01 | 24% | 30 May → | |
| dust2 | 13–8 | -0.02 | 27% | 24 May → | |
| dust2 | 13–2 | -0.02 | 33% | 24 May → | |
| nuke | 9–6 | -0.01 | 27% | 24 May → | |
| dust2 | 13–11 | 0.06 | 25% | 19 May → | |
| cache | 13–11 | 0.12 | 32% | 18 May → | |
| cache | 13–9 | 0.06 | 14% | 17 May → | |
| dust2 | 1–13 | 0.01 | 35% | 17 May → | |
| cache | 12–12 | 0.14 | 27% | 10 May → | |
| cache | 13–5 | 0.05 | 30% | 10 May → | |
| mirage | 3–13 | -0.06 | 28% | 10 May → | |
| cache | 0–2 | -0.06 | 0% | 10 May → | |
| dust2 | 10–1 | 0.10 | 35% | 10 May → | |
| cache | 13–10 | 0.13 | 19% | 30 Apr → | |
| cache | 13–11 | -0.02 | 26% | 30 Apr → | |
| cache | 13–7 | 0.04 | 31% | 30 Apr → | |
| overpass | 8–13 | -0.04 | 14% | 25 Apr → | |
| ancient | 13–5 | 0.03 | 31% | 25 Apr → | |
| train | 13–11 | -0.01 | 22% | 25 Apr → | |
| train | 12–12 | -0.03 | 20% | 25 Apr → | |
| dust2 | 3–13 | -0.05 | 13% | 12 Apr → | |
| dust2 | 4–13 | 0.03 | 31% | 11 Apr → | |
| dust2 | 13–8 | -0.01 | 24% | 11 Apr → | |
| dust2 | 10–13 | -0.01 | 17% | 10 Apr → | |
| dust2 | 13–3 | 0.05 | 14% | 10 Apr → | |
| dust2 | 13–11 | -0.04 | 13% | 10 Apr → | |
| dust2 | 12–12 | -0.04 | 26% | 10 Apr → | |
| dust2 | 13–5 | 0.02 | 24% | 10 Apr → | |
| dust2 | 9–13 | 0.01 | 17% | 10 Apr → | |
| dust2 | 8–13 | -0.03 | 24% | 9 Apr → | |
| dust2 | 13–10 | 0.04 | 28% | 9 Apr → | |
| dust2 | 13–8 | -0.02 | 23% | 2 Apr → | |
| dust2 | 13–8 | -0.00 | 23% | 2 Apr → | |
| dust2 | 12–12 | -0.01 | 39% | 20 Mar → | |
| dust2 | 12–12 | 0.01 | 19% | 19 Mar → | |
| nuke | 9–6 | -0.00 | 15% | 15 Mar → | |
| overpass | 9–7 | -0.02 | 31% | 15 Mar → | |
| overpass | 9–4 | 0.02 | 32% | 15 Mar → | |
| nuke | 8–8 | -0.13 | 12% | 15 Mar → | |
| vertigo | 8–8 | -0.02 | 19% | 15 Mar → | |
| nuke | 8–8 | 0.03 | 31% | 15 Mar → | |
| dust2 | 5–13 | 0.05 | 27% | 15 Mar → | |
| dust2 | 7–13 | -0.00 | 24% | 14 Mar → | |
| dust2 | 12–12 | 0.02 | 28% | 14 Mar → | |
| train | 6–13 | -0.03 | 14% | 14 Sept → | |
| dust2 | 13–10 | 0.05 | 28% | 14 Sept → | |
| mirage | 13–5 | 0.07 | 20% | 13 Sept → | |
| dust2 | 13–1 | -0.04 | 0% | 28 Aug → | |
| dust2 | 13–0 | 0.01 | 38% | 28 Aug → | |
| dust2 | 13–3 | 0.09 | 32% | 25 Aug → | |
| dust2 | 6–13 | -0.04 | 33% | 25 Aug → | |
| dust2 | 13–11 | 0.02 | 13% | 30 Jul → | |
| dust2 | 13–10 | 0.01 | 21% | 30 Jul → | |
| dust2 | 13–2 | 0.01 | 28% | 25 Jul → | |
| dust2 | 13–4 | 0.02 | 25% | 25 Jul → | |
| dust2 | 12–12 | -0.05 | 11% | 19 Jul → | |
| dust2 | 8–9 | -0.06 | 19% | 19 Jul → | |
| dust2 | 13–9 | 0.14 | 26% | 19 Jul → | |
| dust2 | 12–12 | 0.02 | 18% | 16 Jul → | |
| dust2 | 6–13 | 0.02 | 21% | 16 Jul → | |
| dust2 | 0–11 | -0.09 | 8% | 14 Jul → | |
| dust2 | 8–0 | 0.05 | 13% | 14 Jul → | |
| dust2 | 13–5 | 0.03 | 20% | 12 Jul → | |
| dust2 | 13–11 | -0.04 | 18% | 12 Jul → | |
| dust2 | 0–12 | -0.05 | 33% | 12 Jul → | |
| dust2 | 13–1 | 0.15 | 31% | 12 Jul → | |
| mirage | 0–4 | 0.01 | 50% | 11 Jul → | |
| dust2 | 8–13 | 0.03 | 23% | 11 Jul → | |
| dust2 | 4–13 | -0.06 | 20% | 11 Jul → | |
| dust2 | 13–11 | 0.10 | 29% | 8 Jul → | |
| dust2 | 11–13 | 0.02 | 18% | 7 Jul → | |
| dust2 | 13–7 | -0.02 | 15% | 7 Jul → | |
| dust2 | 12–12 | 0.05 | 16% | 7 Jul → | |
| dust2 | 13–11 | 0.01 | 14% | 4 Jul → | |
| dust2 | 13–9 | 0.03 | 12% | 27 Jun → | |
| dust2 | 13–5 | -0.03 | 19% | 26 Jun → | |
| dust2 | 13–9 | 0.03 | 18% | 26 Jun → | |
| dust2 | 13–3 | 0.04 | 28% | 24 Jun → | |
| dust2 | 7–1 | 0.00 | 14% | 24 Jun → | |
| dust2 | 13–5 | -0.00 | 12% | 18 Jun → | |
| jura | 13–9 | 0.02 | 18% | 10 Jun → | |
| jura | 13–6 | 0.01 | 38% | 7 Jun → | |
| dust2 | 13–7 | -0.03 | 23% | 7 Jun → | |
| dust2 | 4–13 | 0.05 | 26% | 7 Jun → | |
| dust2 | 13–7 | 0.04 | 29% | 2 Jun → | |
| dust2 | 11–13 | 0.07 | 13% | 2 Jun → | |
| dust2 | 13–9 | 0.06 | 19% | 19 May → | |
| dust2 | 9–13 | 0.03 | 18% | 19 May → | |
| dust2 | 13–6 | 0.05 | 19% | 19 May → | |
| dust2 | 9–13 | 0.01 | 30% | 18 May → | |
| dust2 | 11–13 | 0.01 | 19% | 18 May → | |
| dust2 | 13–11 | 0.07 | 27% | 12 May → | |
| dust2 | 4–13 | -0.02 | 18% | 12 May → | |
| dust2 | 13–4 | -0.01 | 26% | 1 May → | |
| dust2 | 13–4 | 0.02 | 18% | 1 May → | |
| dust2 | 9–13 | 0.03 | 21% | 21 Apr → | |
| dust2 | 13–6 | 0.05 | 16% | 21 Apr → |
Match data via Leetify.
