*stares — CS2 Stats
76561198300478812[U:1:340213084]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 47.7% | 52.8% | 5.1% short |
| Shot accuracy | 10.9% | 13.7% | 2.8% short |
| Kill/death ratio | 1.28 | 1.08 | above |
| Match win rate | 48.1% | 49.2% | 1.1% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: -10pp win rate · -0.06 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 94% 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
CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 60% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.
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 (×1.05 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 |
|---|---|---|---|---|---|
| A | 26 | 16–10 | 62% | 0.03 | |
| C | 25 | 11–14 | 44% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.06 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| C | 9 | 4–5 | 44% | 0.02 | |
| shelter | S | 9 | 8–1 | 89% | 0.01 |
| S | 6 | 6–0 | 100% | 0.11 | |
| office | — | 2 | 0–2 | 0% | -0.01 |
| boulder | — | 2 | 1–1 | 50% | 0.04 |
| — | 1 | 1–0 | 100% | -0.00 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (44% over 25). Start with the 6 essential Mirage 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 63 | 63% | 1.43 | 18.1 |
| Dust2 | 53 | 49% | 1.28 | 17.7 |
| Nuke | 33 | 58% | 1.28 | 17.9 |
| Inferno | 31 | 55% | 1.25 | 18.7 |
| Ancient | 29 | 38% | 1.07 | 15.4 |
| Anubis | 17 | 59% | 1.28 | 19.2 |
| Vertigo | 11 | 73% | 1.34 | 16.8 |
| Train | 6 | 33% | 1.08 | 16.5 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
44% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.10 | 17% | 27 Aug → | ||
| 6–13 | -0.03 | 22% | 26 Aug → | ||
| 5–13 | -0.07 | 13% | 24 Aug → | ||
| 13–6 | 0.09 | 36% | 24 Aug → | ||
| 13–11 | 0.00 | 13% | 24 Aug → | ||
| 13–11 | 0.06 | 13% | 23 Aug → | ||
| 9–13 | -0.02 | 20% | 22 Aug → | ||
| 10–1 | 0.09 | 27% | 22 Aug → | ||
| 12–12 | 0.05 | 21% | 22 Aug → | ||
| 13–8 | -0.03 | 21% | 22 Aug → | ||
| 13–2 | 0.13 | 24% | 22 Aug → | ||
| 6–13 | 0.04 | 35% | 21 Aug → | ||
| 13–10 | 0.01 | 23% | 21 Aug → | ||
| 13–6 | 0.10 | 8% | 21 Aug → | ||
| 13–8 | 0.16 | 15% | 21 Aug → | ||
| 13–11 | 0.09 | 17% | 20 Aug → | ||
| 3–13 | 0.05 | 28% | 19 Aug → | ||
| 10–13 | 0.05 | 15% | 19 Aug → | ||
| 13–3 | 0.15 | 17% | 18 Aug → | ||
| 13–9 | -0.01 | 30% | 18 Aug → | ||
| 13–6 | -0.00 | 23% | 18 Aug → | ||
| 13–8 | 0.19 | 15% | 17 Aug → | ||
| 13–9 | 0.03 | 12% | 16 Aug → | ||
| 12–12 | 0.02 | 16% | 16 Aug → | ||
| 13–6 | 0.03 | 4% | 15 Aug → | ||
| 10–13 | 0.00 | 14% | 15 Aug → | ||
| 13–4 | 0.10 | 14% | 15 Aug → | ||
| 13–5 | 0.05 | 26% | 15 Aug → | ||
| 13–7 | -0.00 | 12% | 14 Aug → | ||
| 7–13 | -0.00 | 21% | 14 Aug → | ||
| 9–13 | 0.03 | 16% | 8 Aug → | ||
| 13–6 | 0.09 | 18% | 8 Aug → | ||
| 4–10 | -0.01 | 22% | 5 Aug → | ||
| 13–9 | 0.05 | 16% | 5 Aug → | ||
| 11–13 | 0.19 | 16% | 5 Aug → | ||
| 13–9 | 0.04 | 11% | 5 Aug → | ||
| 13–1 | 0.12 | 17% | 5 Aug → | ||
| 13–4 | -0.05 | 29% | 5 Aug → | ||
| 12–12 | 0.04 | 19% | 5 Aug → | ||
| shelter | 13–2 | -0.08 | 10% | 31 Jul → | |
| 2–13 | 0.05 | 11% | 30 Jul → | ||
| 13–8 | 0.02 | 19% | 30 Jul → | ||
| 13–6 | 0.25 | 16% | 29 Jul → | ||
| 12–12 | 0.06 | 14% | 29 Jul → | ||
| 8–13 | -0.06 | 23% | 29 Jul → | ||
| 13–8 | 0.12 | 23% | 28 Jul → | ||
| 13–11 | 0.09 | 8% | 28 Jul → | ||
| 6–13 | 0.01 | 8% | 28 Jul → | ||
| 12–12 | 0.03 | 7% | 28 Jul → | ||
| 10–7 | 0.06 | 11% | 28 Jul → | ||
| 13–7 | 0.13 | 17% | 27 Jul → | ||
| 7–13 | -0.03 | 14% | 27 Jul → | ||
| 10–13 | -0.01 | 17% | 27 Jul → | ||
| 13–11 | 0.01 | 16% | 27 Jul → | ||
| 11–3 | 0.05 | 33% | 26 Jul → | ||
| 13–7 | 0.02 | 16% | 25 Jul → | ||
| 13–9 | 0.05 | 7% | 24 Jul → | ||
| 8–13 | 0.08 | 14% | 24 Jul → | ||
| 13–3 | 0.10 | 22% | 24 Jul → | ||
| shelter | 13–7 | 0.08 | 15% | 20 Jul → | |
| shelter | 13–7 | 0.07 | 25% | 20 Jul → | |
| 12–12 | -0.05 | 13% | 20 Jul → | ||
| 13–6 | 0.19 | 27% | 19 Jul → | ||
| 6–13 | -0.02 | 16% | 19 Jul → | ||
| shelter | 6–13 | -0.07 | 14% | 18 Jul → | |
| shelter | 13–10 | -0.04 | 16% | 18 Jul → | |
| 13–5 | 0.08 | 25% | 18 Jul → | ||
| 13–1 | 0.05 | 16% | 18 Jul → | ||
| 13–8 | -0.05 | 11% | 17 Jul → | ||
| 9–13 | 0.02 | 9% | 17 Jul → | ||
| 10–13 | -0.01 | 20% | 17 Jul → | ||
| 5–13 | 0.04 | 33% | 17 Jul → | ||
| 2–13 | -0.03 | 17% | 17 Jul → | ||
| shelter | 13–8 | 0.07 | 46% | 16 Jul → | |
| shelter | 12–2 | 0.02 | 25% | 16 Jul → | |
| 5–13 | 0.04 | 21% | 16 Jul → | ||
| 4–13 | 0.06 | 21% | 16 Jul → | ||
| 6–4 | -0.01 | 13% | 16 Jul → | ||
| 10–13 | -0.04 | 9% | 16 Jul → | ||
| 0–4 | -0.02 | 0% | 14 Jul → | ||
| 1–13 | 0.01 | 13% | 14 Jul → | ||
| 2–13 | -0.04 | 16% | 14 Jul → | ||
| 13–8 | -0.05 | 13% | 14 Jul → | ||
| 13–4 | 0.07 | 21% | 14 Jul → | ||
| 4–13 | -0.03 | 15% | 13 Jul → | ||
| 13–6 | 0.06 | 15% | 13 Jul → | ||
| office | 6–13 | 0.01 | 18% | 13 Jul → | |
| boulder | 11–13 | 0.03 | 21% | 12 Jul → | |
| 6–13 | -0.05 | 16% | 11 Jul → | ||
| 8–13 | -0.02 | 18% | 11 Jul → | ||
| 13–4 | 0.03 | 15% | 11 Jul → | ||
| 13–5 | 0.08 | 17% | 11 Jul → | ||
| 11–13 | -0.03 | 16% | 11 Jul → | ||
| boulder | 13–1 | 0.06 | 16% | 10 Jul → | |
| shelter | 13–6 | 0.01 | 17% | 10 Jul → | |
| shelter | 13–5 | 0.01 | 21% | 9 Jul → | |
| office | 6–13 | -0.03 | 20% | 9 Jul → | |
| 13–8 | 0.05 | 31% | 9 Jul → | ||
| 9–13 | -0.03 | 23% | 9 Jul → | ||
| 13–6 | 0.02 | 10% | 9 Jul → |
Match data via Leetify.