womaibaoxian — CS2 Stats
76561198320887600[U:1:360621872]
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 59.8% | 46.2% | 47.2% | above |
| Shot accuracy | 5.9% | 12.5% | 12.3% | 6.4% short |
| Kill/death ratio | 1.59 | 1.06 | 1.07 | above |
| Match win rate | 45.2% | 45.9% | 46.3% | 1.1% short |
This profile matches the typical Level 8 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 8 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 · +0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 94% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
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. 551ms 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 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | S | 28 | 19–9 | 68% | 0.04 |
 mirage | S | 23 | 15–8 | 65% | 0.06 |
 inferno | B | 16 | 8–8 | 50% | 0.04 |
 ancient | S | 10 | 8–2 | 80% | 0.03 |
 cache | C | 7 | 3–4 | 43% | 0.05 |
 nuke | — | 4 | 2–2 | 50% | 0.06 |
 anubis | — | 4 | 3–1 | 75% | 0.07 |
 vertigo | — | 3 | 1–2 | 33% | -0.01 |
| office | — | 2 | 2–0 | 100% | -0.05 |
 train | — | 2 | 1–1 | 50% | 0.00 |
 overpass | — | 1 | 0–1 | 0% | 0.09 |
Across the last 100 tracked matches.
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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 112 | 57% | 1.32 | 18.4 |
| Ancient | 81 | 51% | 1.29 | 18.4 |
| Mirage | 72 | 40% | 1.18 | 17.2 |
| Inferno | 32 | 50% | 1.30 | 18.2 |
| Nuke | 15 | 53% | 1.07 | 16.9 |
| Train | 8 | 38% | 1.08 | 16.0 |
| Overpass | 2 | 0% | 1.04 | 15.5 |
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 0.4864 — 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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 13–8 | -0.04 | 25% | 29 Aug → | |
| ancient | 13–11 | 0.07 | 22% | 25 Aug → | |
| dust2 | 9–13 | 0.01 | 19% | 25 Aug → | |
| ancient | 13–10 | 0.07 | 32% | 24 Aug → | |
| mirage | 13–0 | 0.09 | 39% | 24 Aug → | |
| dust2 | 13–6 | 0.13 | 23% | 16 Aug → | |
| nuke | 7–13 | 0.15 | 24% | 20 Jun → | |
| vertigo | 7–5 | -0.08 | 33% | 16 Jun → | |
| mirage | 13–10 | 0.06 | 28% | 16 Jun → | |
| inferno | 13–3 | 0.03 | 22% | 12 Jun → | |
| anubis | 13–3 | 0.05 | 35% | 12 Jun → | |
| dust2 | 1–13 | 0.06 | 13% | 12 Jun → | |
| dust2 | 13–6 | 0.04 | 32% | 12 Jun → | |
| mirage | 5–13 | -0.04 | 10% | 12 Jun → | |
| nuke | 12–12 | 0.06 | 37% | 12 Jun → | |
| office | 6–3 | -0.06 | 50% | 11 Jun → | |
| inferno | 4–13 | -0.06 | 58% | 11 Jun → | |
| dust2 | 13–5 | -0.05 | 59% | 11 Jun → | |
| dust2 | 12–12 | 0.04 | 18% | 11 Jun → | |
| inferno | 10–13 | 0.00 | 29% | 11 Jun → | |
| dust2 | 13–2 | 0.05 | 22% | 11 Jun → | |
| mirage | 13–4 | 0.14 | 29% | 11 Jun → | |
| mirage | 13–1 | 0.14 | 29% | 11 Jun → | |
| cache | 13–5 | 0.04 | 28% | 10 Jun → | |
| nuke | 13–6 | -0.01 | 33% | 10 Jun → | |
| anubis | 13–2 | 0.10 | 21% | 10 Jun → | |
| mirage | 8–13 | 0.01 | 26% | 10 Jun → | |
| ancient | 13–10 | 0.05 | 23% | 10 Jun → | |
| mirage | 13–6 | 0.00 | 19% | 9 Jun → | |
| ancient | 13–9 | 0.10 | 32% | 9 Jun → | |
| mirage | 13–2 | 0.15 | 28% | 9 Jun → | |
| mirage | 13–7 | 0.16 | 62% | 9 Jun → | |
| nuke | 4–3 | 0.06 | 41% | 9 Jun → | |
| train | 5–13 | -0.01 | 36% | 9 Jun → | |
| inferno | 13–11 | 0.08 | 28% | 9 Jun → | |
| dust2 | 13–8 | 0.03 | 30% | 9 Jun → | |
| inferno | 13–11 | 0.10 | 33% | 9 Jun → | |
| dust2 | 13–9 | 0.04 | 40% | 7 Jun → | |
| dust2 | 4–1 | 0.16 | 42% | 7 Jun → | |
| dust2 | 11–13 | 0.06 | 24% | 6 Jun → | |
| dust2 | 13–10 | 0.07 | 31% | 3 Jun → | |
| dust2 | 13–8 | 0.06 | 12% | 2 Jun → | |
| mirage | 13–6 | 0.06 | 41% | 29 May → | |
| ancient | 8–13 | -0.00 | 33% | 29 May → | |
| dust2 | 12–12 | 0.04 | 34% | 29 May → | |
| dust2 | 13–8 | 0.08 | 21% | 29 May → | |
| dust2 | 13–5 | 0.08 | 23% | 29 May → | |
| dust2 | 13–11 | 0.05 | 44% | 29 May → | |
| mirage | 13–9 | 0.10 | 32% | 28 May → | |
| dust2 | 9–1 | -0.00 | 10% | 28 May → | |
| ancient | 13–4 | 0.04 | 31% | 28 May → | |
| inferno | 13–0 | 0.00 | 23% | 28 May → | |
| mirage | 5–13 | 0.11 | 56% | 27 May → | |
| dust2 | 13–4 | 0.00 | 50% | 27 May → | |
| mirage | 12–12 | 0.13 | 26% | 27 May → | |
| dust2 | 12–12 | -0.01 | 37% | 27 May → | |
| anubis | 13–7 | 0.15 | 35% | 27 May → | |
| inferno | 4–13 | 0.15 | 25% | 27 May → | |
| mirage | 12–12 | 0.04 | 26% | 27 May → | |
| mirage | 13–3 | 0.05 | 19% | 25 May → | |
| dust2 | 6–13 | 0.01 | 30% | 25 May → | |
| mirage | 13–3 | 0.14 | 24% | 25 May → | |
| dust2 | 13–7 | 0.02 | 29% | 25 May → | |
| dust2 | 13–11 | 0.05 | 23% | 25 May → | |
| cache | 10–13 | 0.08 | 32% | 24 May → | |
| vertigo | 7–13 | 0.01 | 35% | 24 May → | |
| cache | 13–4 | 0.03 | 17% | 23 May → | |
| inferno | 7–13 | 0.03 | 23% | 23 May → | |
| mirage | 13–8 | 0.03 | 24% | 23 May → | |
| cache | 13–1 | 0.17 | 20% | 23 May → | |
| inferno | 13–8 | 0.12 | 34% | 23 May → | |
| dust2 | 7–1 | 0.18 | 27% | 23 May → | |
| inferno | 11–13 | -0.02 | 41% | 23 May → | |
| mirage | 13–4 | 0.06 | 38% | 22 May → | |
| cache | 10–13 | 0.11 | 38% | 21 May → | |
| anubis | 2–13 | -0.04 | 29% | 19 May → | |
| dust2 | 13–5 | 0.05 | 61% | 16 May → | |
| ancient | 12–12 | -0.03 | 33% | 15 May → | |
| inferno | 13–6 | -0.05 | 36% | 14 May → | |
| cache | 12–12 | -0.06 | 25% | 14 May → | |
| mirage | 9–13 | 0.02 | 46% | 14 May → | |
| mirage | 6–13 | -0.06 | 13% | 12 May → | |
| inferno | 12–12 | 0.13 | 26% | 10 May → | |
| ancient | 13–11 | 0.02 | 24% | 7 May → | |
| mirage | 0–13 | -0.11 | 0% | 7 May → | |
| inferno | 13–7 | 0.11 | 37% | 3 May → | |
| dust2 | 8–13 | -0.04 | 16% | 29 Apr → | |
| train | 10–3 | 0.01 | 40% | 29 Apr → | |
| cache | 10–13 | -0.00 | 22% | 29 Apr → | |
| vertigo | 5–5 | 0.03 | 28% | 28 Apr → | |
| dust2 | 4–13 | -0.01 | 20% | 28 Apr → | |
| overpass | 10–13 | 0.09 | 26% | 27 Apr → | |
| mirage | 13–10 | 0.02 | 34% | 21 Apr → | |
| inferno | 13–8 | 0.10 | 34% | 21 Apr → | |
| ancient | 13–7 | 0.00 | 21% | 21 Apr → | |
| mirage | 13–7 | -0.01 | 18% | 19 Apr → | |
| dust2 | 13–9 | -0.05 | 15% | 19 Apr → | |
| inferno | 5–13 | -0.05 | 9% | 12 Apr → | |
| inferno | 3–13 | 0.01 | 13% | 12 Apr → | |
| ancient | 13–6 | 0.03 | 16% | 12 Apr → |
Match data via Leetify.
