ADEFT — CS2 Stats
76561198355903374[U:1:395637646]
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 | 51.9% | 49.0% | 52.0% | meets |
| Shot accuracy | 12.6% | 13.1% | 13.7% | 1.0% short |
| Kill/death ratio | 1.43 | 1.08 | 1.08 | above |
| Match win rate | 42.6% | 46.9% | 48.8% | 6.2% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Match win 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: +0pp win rate · -0.03 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 89% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 62% on CT to 44% 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 7.0/10 (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 |
|---|---|---|---|---|---|
| B | 22 | 11–11 | 50% | -0.01 | |
| A | 21 | 13–8 | 62% | 0.00 | |
| B | 19 | 9–10 | 47% | 0.00 | |
| S | 16 | 12–4 | 75% | 0.00 | |
| B | 8 | 4–4 | 50% | 0.00 | |
| S | 6 | 6–0 | 100% | 0.00 | |
| D | 5 | 1–4 | 20% | -0.01 | |
| — | 3 | 2–1 | 67% | 0.00 |
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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 51 | 61% | 1.29 | 17.8 |
| Dust2 | 20 | 65% | 1.30 | 18.1 |
| Inferno | 16 | 50% | 1.31 | 18.5 |
| Ancient | 16 | 56% | 1.29 | 17.1 |
| Overpass | 13 | 31% | 1.17 | 16.8 |
| Nuke | 10 | 50% | 1.24 | 18.4 |
| Anubis | 7 | 71% | 1.28 | 19.3 |
| Cache | 4 | 75% | 0.99 | 15.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.07 | 14% | 29 Aug → | ||
| 11–13 | -0.04 | 19% | 28 Aug → | ||
| 7–7 | -0.04 | 18% | 26 Aug → | ||
| 15–15 | -0.06 | 16% | 25 Aug → | ||
| 10–13 | -0.03 | 24% | 25 Aug → | ||
| 13–7 | 0.02 | 14% | 9 Aug → | ||
| 13–11 | -0.04 | 27% | 8 Aug → | ||
| 6–13 | 0.02 | 21% | 8 Aug → | ||
| 13–10 | -0.06 | 16% | 5 Aug → | ||
| 13–11 | -0.00 | 19% | 25 Jul → | ||
| 11–13 | -0.05 | 15% | 24 Jul → | ||
| 13–5 | 0.07 | 16% | 24 Jul → | ||
| 13–9 | 0.00 | 11% | 24 Jul → | ||
| 11–13 | -0.02 | 14% | 23 Jul → | ||
| 4–13 | 0.01 | 15% | 20 Jul → | ||
| 15–15 | -0.01 | 9% | 19 Jul → | ||
| 13–8 | -0.04 | 9% | 16 Jul → | ||
| 6–13 | -0.00 | 13% | 14 Jul → | ||
| 13–0 | 0.04 | 11% | 14 Jul → | ||
| 13–11 | -0.03 | 20% | 13 Jul → | ||
| 13–3 | 0.05 | 21% | 13 Jul → | ||
| 1–13 | -0.05 | 42% | 13 Jul → | ||
| 13–10 | 0.02 | 27% | 12 Jul → | ||
| 9–13 | 0.00 | 23% | 12 Jul → | ||
| 13–9 | 0.07 | 23% | 12 Jul → | ||
| 2–0 | 0.02 | 100% | 12 Jul → | ||
| 13–6 | 0.11 | 29% | 6 Jul → | ||
| 13–10 | 0.01 | 24% | 6 Jul → | ||
| 2–13 | -0.10 | 8% | 5 Jul → | ||
| 10–13 | -0.01 | 17% | 2 Jul → | ||
| 13–8 | 0.00 | 12% | 2 Jul → | ||
| 2–13 | -0.04 | 12% | 1 Jul → | ||
| 13–10 | 0.03 | 21% | 28 Jun → | ||
| 13–8 | -0.02 | 16% | 28 Jun → | ||
| 13–7 | 0.04 | 23% | 27 Jun → | ||
| 13–9 | -0.01 | 31% | 27 Jun → | ||
| 13–1 | 0.04 | 10% | 27 Jun → | ||
| 13–9 | 0.01 | 8% | 25 Jun → | ||
| 11–13 | -0.03 | 17% | 23 Jun → | ||
| 13–4 | 0.06 | 36% | 23 Jun → | ||
| 13–9 | 0.01 | 16% | 23 Jun → | ||
| 13–4 | 0.04 | 11% | 21 Jun → | ||
| 13–6 | -0.05 | 17% | 21 Jun → | ||
| 11–13 | -0.04 | 12% | 19 Jun → | ||
| 10–13 | 0.02 | 16% | 18 Jun → | ||
| 13–10 | 0.06 | 26% | 18 Jun → | ||
| 10–13 | 0.03 | 16% | 17 Jun → | ||
| 13–11 | 0.01 | 20% | 17 Jun → | ||
| 13–11 | 0.02 | 19% | 16 Jun → | ||
| 13–4 | -0.00 | 17% | 15 Jun → | ||
| 10–13 | -0.03 | 19% | 15 Jun → | ||
| 8–13 | -0.03 | 25% | 15 Jun → | ||
| 13–7 | 0.04 | 33% | 14 Jun → | ||
| 13–9 | -0.06 | 11% | 14 Jun → | ||
| 13–9 | -0.01 | 11% | 14 Jun → | ||
| 13–6 | -0.01 | 36% | 14 Jun → | ||
| 13–7 | 0.09 | 22% | 13 Jun → | ||
| 8–13 | -0.03 | 23% | 13 Jun → | ||
| 5–13 | -0.09 | 16% | 13 Jun → | ||
| 4–13 | -0.01 | 17% | 13 Jun → | ||
| 13–7 | -0.00 | 17% | 13 Jun → | ||
| 15–15 | -0.03 | 23% | 13 Jun → | ||
| 13–5 | -0.00 | 27% | 13 Jun → | ||
| 10–13 | -0.03 | 23% | 12 Jun → | ||
| 13–2 | 0.00 | 28% | 12 Jun → | ||
| 7–13 | 0.02 | 22% | 11 Jun → | ||
| 13–8 | 0.04 | 15% | 9 Jun → | ||
| 13–10 | 0.02 | 17% | 9 Jun → | ||
| 6–0 | -0.06 | 20% | 9 Jun → | ||
| 16–13 | 0.02 | 15% | 8 Jun → | ||
| 13–7 | 0.02 | 20% | 8 Jun → | ||
| 13–9 | 0.01 | 16% | 6 Jun → | ||
| 13–9 | 0.07 | 26% | 4 Jun → | ||
| 13–6 | 0.09 | 23% | 4 Jun → | ||
| 7–13 | -0.03 | 18% | 3 Jun → | ||
| 13–8 | 0.02 | 27% | 3 Jun → | ||
| 13–9 | 0.02 | 16% | 1 Jun → | ||
| 13–9 | -0.01 | 11% | 1 Jun → | ||
| 7–13 | -0.03 | 23% | 1 Jun → | ||
| 9–13 | -0.04 | 21% | 31 May → | ||
| 13–7 | 0.12 | 21% | 31 May → | ||
| 13–6 | 0.01 | 17% | 31 May → | ||
| 9–13 | 0.03 | 14% | 30 May → | ||
| 5–13 | -0.05 | 22% | 30 May → | ||
| 7–13 | -0.05 | 12% | 29 May → | ||
| 14–16 | 0.06 | 25% | 29 May → | ||
| 13–3 | 0.04 | 13% | 28 May → | ||
| 0–12 | -0.03 | 22% | 28 May → | ||
| 11–13 | 0.01 | 25% | 28 May → | ||
| 13–9 | 0.03 | 18% | 27 May → | ||
| 10–13 | 0.01 | 12% | 27 May → | ||
| 2–13 | -0.06 | 13% | 27 May → | ||
| 4–13 | -0.05 | 24% | 26 May → | ||
| 13–7 | 0.02 | 10% | 25 May → | ||
| 8–13 | -0.06 | 16% | 25 May → | ||
| 13–4 | 0.07 | 13% | 25 May → | ||
| 13–9 | 0.02 | 29% | 25 May → | ||
| 10–13 | 0.00 | 28% | 25 May → | ||
| 11–13 | -0.01 | 22% | 22 May → | ||
| 13–10 | -0.06 | 16% | 21 May → |
Match data via Leetify.