SucculentChineseMeal — CS2 Stats
CA76561198073929378[U:1:113663650]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 36.7% | 42.5% | 44.2% | 7.5% short |
| Shot accuracy | 12.6% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.03 | 0.99 | 1.04 | meets |
| Match win rate | 30.3% | 44.2% | 45.3% | 15.0% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 5 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-strafingLimited utility dependenceReliable in 1v1s
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 ropz 90% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; higher opening-fight frequency.
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 91 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 637ms 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 6.8/10 (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 |
|---|---|---|---|---|---|
 cache | A | 16 | 10–6 | 63% | 0.02 |
 mirage | B | 16 | 8–8 | 50% | 0.04 |
 inferno | A | 14 | 9–5 | 64% | 0.02 |
 dust2 | B | 13 | 7–6 | 54% | 0.01 |
 ancient | A | 11 | 6–5 | 55% | 0.03 |
 overpass | D | 9 | 2–7 | 22% | 0.04 |
 anubis | D | 7 | 1–6 | 14% | -0.00 |
 vertigo | S | 6 | 4–2 | 67% | -0.01 |
 train | — | 4 | 2–2 | 50% | 0.06 |
 nuke | — | 4 | 2–2 | 50% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis 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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 3 | 67% | 1.08 | 16.7 |
| Mirage | 3 | 0% | 1.07 | 16.0 |
| Inferno | 2 | 50% | 1.36 | 12.0 |
| Anubis | 1 | 0% | 0.69 | 11.0 |
| Vertigo | 1 | 0% | 1.43 | 20.0 |
| Ancient | 1 | 100% | 3.00 | 12.0 |
| Nuke | 1 | 0% | 0.87 | 13.0 |
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.
- 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 0.3451 — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 10–13 | 0.02 | 26% | 11 Jul → | |
| cache | 13–9 | 0.01 | 23% | 11 Jul → | |
| ancient | 13–7 | 0.02 | 42% | 11 Jul → | |
| vertigo | 0–13 | -0.12 | 13% | 7 Jul → | |
| cache | 13–9 | 0.05 | 48% | 7 Jul → | |
| inferno | 13–10 | 0.08 | 24% | 7 Jul → | |
| dust2 | 3–13 | -0.08 | 11% | 7 Jul → | |
| ancient | 12–12 | 0.01 | 32% | 7 Jul → | |
| train | 13–0 | 0.09 | 18% | 6 Jul → | |
| vertigo | 13–11 | -0.02 | 15% | 6 Jul → | |
| cache | 13–8 | 0.15 | 28% | 6 Jul → | |
| dust2 | 5–13 | -0.01 | 18% | 2 Jul → | |
| ancient | 4–13 | 0.00 | 13% | 2 Jul → | |
| ancient | 1–13 | -0.01 | 54% | 28 Jun → | |
| cache | 12–12 | -0.02 | 32% | 28 Jun → | |
| anubis | 8–13 | -0.09 | 11% | 27 Jun → | |
| mirage | 15–15 | 0.00 | 23% | 26 Jun → | |
| nuke | 13–9 | 0.05 | 50% | 23 Jun → | |
| mirage | 13–10 | 0.09 | 19% | 22 Jun → | |
| inferno | 13–9 | 0.03 | 20% | 22 Jun → | |
| mirage | 2–13 | -0.05 | 27% | 22 Jun → | |
| ancient | 8–13 | -0.02 | 13% | 19 Jun → | |
| inferno | 5–13 | -0.05 | 19% | 19 Jun → | |
| overpass | 7–13 | 0.07 | 28% | 18 Jun → | |
| inferno | 13–9 | 0.06 | 20% | 18 Jun → | |
| cache | 6–13 | -0.04 | 24% | 17 Jun → | |
| train | 13–8 | 0.15 | 31% | 17 Jun → | |
| dust2 | 11–3 | 0.06 | 38% | 17 Jun → | |
| inferno | 8–13 | -0.04 | 33% | 16 Jun → | |
| inferno | 16–14 | -0.01 | 24% | 16 Jun → | |
| nuke | 13–11 | 0.06 | 21% | 12 Jun → | |
| ancient | 13–11 | 0.09 | 38% | 11 Jun → | |
| inferno | 10–13 | -0.02 | 7% | 10 Jun → | |
| mirage | 9–13 | 0.02 | 14% | 10 Jun → | |
| mirage | 13–5 | 0.09 | 22% | 10 Jun → | |
| vertigo | 12–12 | 0.03 | 19% | 9 Jun → | |
| mirage | 13–11 | -0.01 | 23% | 9 Jun → | |
| mirage | 5–13 | -0.03 | 16% | 8 Jun → | |
| inferno | 3–13 | -0.02 | 11% | 8 Jun → | |
| mirage | 7–13 | 0.15 | 25% | 7 Jun → | |
| dust2 | 13–9 | 0.01 | 22% | 7 Jun → | |
| overpass | 13–10 | -0.02 | 11% | 5 Jun → | |
| cache | 13–11 | 0.01 | 20% | 5 Jun → | |
| cache | 10–13 | 0.02 | 22% | 2 Jun → | |
| dust2 | 14–16 | 0.01 | 18% | 2 Jun → | |
| dust2 | 13–3 | 0.02 | 37% | 31 May → | |
| anubis | 8–13 | -0.01 | 16% | 31 May → | |
| overpass | 7–13 | 0.01 | 13% | 31 May → | |
| mirage | 13–5 | 0.08 | 21% | 31 May → | |
| vertigo | 13–2 | 0.01 | 10% | 29 May → | |
| cache | 13–5 | 0.06 | 24% | 29 May → | |
| train | 11–13 | 0.03 | 11% | 29 May → | |
| anubis | 6–13 | 0.06 | 10% | 29 May → | |
| cache | 7–13 | -0.01 | 32% | 28 May → | |
| inferno | 16–13 | 0.05 | 24% | 28 May → | |
| anubis | 5–13 | -0.10 | 0% | 28 May → | |
| overpass | 15–15 | 0.02 | 19% | 27 May → | |
| anubis | 7–13 | 0.04 | 19% | 27 May → | |
| ancient | 13–8 | 0.03 | 10% | 26 May → | |
| dust2 | 13–6 | 0.06 | 20% | 26 May → | |
| nuke | 11–13 | -0.01 | 21% | 25 May → | |
| cache | 1–13 | -0.01 | 18% | 25 May → | |
| mirage | 13–11 | 0.05 | 19% | 25 May → | |
| inferno | 13–6 | 0.06 | 24% | 25 May → | |
| cache | 13–8 | 0.06 | 21% | 24 May → | |
| vertigo | 13–9 | 0.06 | 17% | 24 May → | |
| mirage | 11–13 | 0.02 | 32% | 23 May → | |
| inferno | 11–13 | -0.05 | 43% | 23 May → | |
| train | 10–13 | -0.04 | 25% | 23 May → | |
| cache | 13–7 | -0.00 | 38% | 23 May → | |
| overpass | 4–13 | -0.01 | 15% | 23 May → | |
| cache | 13–7 | -0.04 | 43% | 22 May → | |
| mirage | 13–7 | 0.03 | 20% | 22 May → | |
| ancient | 13–3 | 0.10 | 30% | 22 May → | |
| ancient | 13–4 | 0.07 | 21% | 22 May → | |
| vertigo | 13–9 | -0.03 | 23% | 21 May → | |
| cache | 12–12 | 0.05 | 24% | 21 May → | |
| mirage | 13–9 | 0.07 | 27% | 21 May → | |
| overpass | 13–8 | 0.14 | 26% | 21 May → | |
| overpass | 10–13 | 0.01 | 14% | 20 May → | |
| mirage | 13–8 | 0.03 | 13% | 20 May → | |
| dust2 | 16–12 | -0.00 | 27% | 20 May → | |
| ancient | 5–13 | 0.01 | 21% | 18 May → | |
| overpass | 10–13 | 0.03 | 36% | 18 May → | |
| cache | 13–2 | 0.07 | 33% | 18 May → | |
| anubis | 13–10 | 0.06 | 14% | 17 May → | |
| dust2 | 8–13 | -0.09 | 22% | 17 May → | |
| inferno | 13–11 | 0.06 | 24% | 17 May → | |
| nuke | 10–13 | 0.06 | 17% | 16 May → | |
| dust2 | 8–13 | 0.02 | 14% | 16 May → | |
| dust2 | 13–10 | 0.03 | 24% | 15 May → | |
| mirage | 6–13 | 0.05 | 20% | 15 May → | |
| inferno | 16–14 | 0.03 | 19% | 15 May → | |
| ancient | 16–12 | -0.01 | 12% | 14 May → | |
| mirage | 7–13 | -0.00 | 29% | 14 May → | |
| overpass | 3–10 | 0.08 | 0% | 13 May → | |
| dust2 | 7–13 | -0.04 | 11% | 13 May → | |
| cache | 13–10 | 0.04 | 8% | 12 May → | |
| dust2 | 13–8 | 0.12 | 18% | 12 May → | |
| inferno | 13–5 | 0.10 | 26% | 12 May → |
Match data via Leetify.