140cm Propis — CS2 Stats
76561198162467388[U:1:202201660]✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 45.4% | 47.2% | 49.0% | 3.5% short |
| Shot accuracy | 13.9% | 12.3% | 13.1% | above |
| Kill/death ratio | 1.04 | 1.07 | 1.08 | 0.04 short |
| Match win rate | 46.3% | 46.3% | 46.9% | meets |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 9 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: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingLimited utility dependence
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 82% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower aim profile; 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
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. 704ms 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 6.0/10 (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 | C | 30 | 13–17 | 43% | 0.02 |
 mirage | C | 18 | 8–10 | 44% | 0.00 |
 anubis | A | 14 | 8–6 | 57% | 0.03 |
 ancient | A | 12 | 7–5 | 58% | 0.01 |
 inferno | C | 8 | 3–5 | 38% | 0.04 |
 train | S | 6 | 4–2 | 67% | 0.05 |
 overpass | — | 4 | 2–2 | 50% | 0.01 |
 nuke | — | 4 | 1–3 | 25% | -0.01 |
 vertigo | — | 2 | 1–1 | 50% | 0.05 |
| grail | — | 1 | 1–0 | 100% | -0.05 |
| office | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 8). 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 | 69 | 48% | 1.32 | 19.4 |
| Anubis | 52 | 60% | 1.28 | 19.0 |
| Dust2 | 31 | 48% | 1.33 | 19.1 |
| Inferno | 20 | 70% | 1.17 | 20.6 |
| Ancient | 12 | 25% | 0.96 | 17.2 |
| Vertigo | 8 | 62% | 1.23 | 19.0 |
| Nuke | 3 | 67% | 1.25 | 14.7 |
| Train | 3 | 33% | 0.74 | 12.7 |
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.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 703.6113ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4562 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–8 | -0.00 | 30% | 21 Mar → | |
| dust2 | 13–10 | 0.12 | 27% | 13 Oct → | |
| inferno | 8–8 | -0.01 | 29% | 13 Oct → | |
| dust2 | 4–13 | -0.02 | 20% | 13 Sept → | |
| train | 16–14 | 0.15 | 36% | 7 Sept → | |
| overpass | 4–13 | -0.00 | 32% | 7 Sept → | |
| mirage | 13–11 | 0.06 | 14% | 9 Aug → | |
| mirage | 1–13 | -0.11 | 50% | 9 Aug → | |
| nuke | 3–9 | -0.05 | 15% | 9 Aug → | |
| mirage | 13–8 | -0.02 | 38% | 7 Jul → | |
| dust2 | 7–13 | -0.03 | 18% | 5 Jul → | |
| ancient | 13–5 | 0.20 | 43% | 5 Jul → | |
| dust2 | 13–11 | 0.08 | 35% | 5 Jul → | |
| train | 7–13 | 0.09 | 36% | 5 Jul → | |
| grail | 13–10 | -0.05 | 29% | 3 Jul → | |
| ancient | 13–8 | 0.01 | 23% | 3 Jul → | |
| mirage | 13–16 | 0.01 | 31% | 3 Jul → | |
| dust2 | 5–13 | -0.06 | 23% | 3 Jul → | |
| ancient | 11–13 | -0.06 | 29% | 2 Jul → | |
| office | 13–4 | 0.03 | 17% | 2 Jul → | |
| nuke | 12–12 | -0.02 | 21% | 1 Jul → | |
| dust2 | 8–13 | -0.02 | 16% | 30 Jun → | |
| dust2 | 13–6 | 0.04 | 20% | 30 Jun → | |
| inferno | 7–9 | 0.14 | 25% | 30 Jun → | |
| dust2 | 7–13 | 0.01 | 25% | 29 Jun → | |
| anubis | 13–3 | 0.16 | 51% | 29 Jun → | |
| inferno | 13–9 | 0.16 | 22% | 28 Jun → | |
| overpass | 8–13 | 0.09 | 29% | 28 Jun → | |
| ancient | 7–13 | -0.07 | 19% | 20 Jun → | |
| dust2 | 10–1 | 0.05 | 42% | 20 Jun → | |
| dust2 | 5–13 | 0.05 | 31% | 20 Jun → | |
| dust2 | 13–8 | 0.02 | 26% | 18 Jun → | |
| dust2 | 3–13 | 0.02 | 34% | 18 Jun → | |
| anubis | 13–8 | 0.06 | 40% | 18 Jun → | |
| ancient | 13–10 | 0.03 | 24% | 18 Jun → | |
| ancient | 7–13 | -0.07 | 24% | 17 Jun → | |
| mirage | 6–13 | 0.05 | 21% | 17 Jun → | |
| anubis | 13–5 | -0.06 | 17% | 17 Jun → | |
| mirage | 10–13 | -0.00 | 16% | 17 Jun → | |
| inferno | 13–9 | -0.02 | 31% | 16 Jun → | |
| dust2 | 13–8 | -0.02 | 40% | 15 Jun → | |
| anubis | 13–4 | 0.04 | 17% | 15 Jun → | |
| dust2 | 9–13 | 0.04 | 25% | 15 Jun → | |
| dust2 | 12–12 | -0.00 | 4% | 13 Jun → | |
| ancient | 8–13 | -0.04 | 18% | 13 Jun → | |
| mirage | 9–13 | -0.03 | 25% | 13 Jun → | |
| mirage | 13–11 | 0.01 | 26% | 13 Jun → | |
| dust2 | 13–11 | -0.05 | 19% | 13 Jun → | |
| dust2 | 11–13 | -0.01 | 19% | 11 Jun → | |
| anubis | 13–4 | 0.04 | 33% | 11 Jun → | |
| train | 13–11 | -0.02 | 24% | 11 Jun → | |
| overpass | 13–11 | -0.02 | 28% | 11 Jun → | |
| anubis | 12–12 | -0.04 | 21% | 11 Jun → | |
| mirage | 6–13 | -0.01 | 25% | 11 Jun → | |
| anubis | 7–13 | 0.05 | 16% | 11 Jun → | |
| inferno | 11–13 | -0.01 | 30% | 11 Jun → | |
| mirage | 13–5 | -0.00 | 18% | 11 Jun → | |
| mirage | 6–13 | 0.02 | 18% | 11 Jun → | |
| ancient | 10–13 | 0.06 | 29% | 10 Jun → | |
| dust2 | 13–9 | 0.07 | 24% | 10 Jun → | |
| dust2 | 13–6 | 0.05 | 31% | 10 Jun → | |
| dust2 | 11–13 | 0.08 | 25% | 10 Jun → | |
| dust2 | 13–6 | 0.06 | 30% | 9 Jun → | |
| dust2 | 10–13 | 0.10 | 18% | 9 Jun → | |
| anubis | 10–13 | 0.00 | 20% | 9 Jun → | |
| anubis | 16–14 | 0.01 | 30% | 9 Jun → | |
| anubis | 10–13 | 0.09 | 31% | 9 Jun → | |
| dust2 | 16–13 | 0.02 | 20% | 9 Jun → | |
| ancient | 13–10 | -0.03 | 18% | 9 Jun → | |
| ancient | 16–12 | 0.02 | 21% | 8 Jun → | |
| dust2 | 7–13 | 0.02 | 23% | 8 Jun → | |
| inferno | 4–13 | 0.00 | 34% | 8 Jun → | |
| inferno | 10–1 | 0.12 | 40% | 8 Jun → | |
| nuke | 13–11 | 0.03 | 33% | 8 Jun → | |
| anubis | 5–13 | 0.01 | 26% | 8 Jun → | |
| anubis | 8–13 | 0.06 | 29% | 8 Jun → | |
| vertigo | 12–12 | 0.02 | 28% | 7 Jun → | |
| mirage | 13–3 | 0.06 | 24% | 7 Jun → | |
| dust2 | 13–4 | 0.06 | 12% | 7 Jun → | |
| mirage | 13–6 | -0.05 | 26% | 7 Jun → | |
| mirage | 2–13 | -0.09 | 56% | 7 Jun → | |
| train | 13–6 | 0.03 | 8% | 7 Jun → | |
| anubis | 13–5 | 0.03 | 34% | 7 Jun → | |
| nuke | 3–13 | -0.00 | 21% | 7 Jun → | |
| mirage | 10–13 | -0.02 | 32% | 7 Jun → | |
| dust2 | 7–13 | -0.01 | 26% | 7 Jun → | |
| ancient | 13–5 | 0.04 | 16% | 7 Jun → | |
| dust2 | 11–13 | 0.06 | 29% | 7 Jun → | |
| train | 16–12 | 0.06 | 24% | 7 Jun → | |
| ancient | 13–11 | 0.04 | 18% | 6 Jun → | |
| mirage | 12–12 | 0.07 | 25% | 5 Jun → | |
| train | 10–13 | 0.01 | 27% | 5 Jun → | |
| vertigo | 13–8 | 0.07 | 22% | 4 Jun → | |
| overpass | 13–2 | -0.02 | 21% | 4 Jun → | |
| mirage | 13–8 | 0.04 | 26% | 4 Jun → | |
| inferno | 3–13 | -0.07 | 33% | 4 Jun → | |
| dust2 | 5–13 | -0.03 | 23% | 4 Jun → | |
| anubis | 13–9 | 0.03 | 31% | 4 Jun → | |
| dust2 | 5–13 | -0.04 | 19% | 4 Jun → | |
| mirage | 13–6 | 0.08 | 15% | 4 Jun → |
Match data via Leetify.