123 — CS2 Stats
76561198103387267[U:1:143121539]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=6,418), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 46.8% | 47.1% | 50.0% | 3.3% short |
| Shot accuracy | 11.5% | 12.8% | 13.5% | 2.0% short |
| Kill/death ratio | 0.98 | 1.08 | 1.13 | 0.14 short |
| Match win rate | 43.7% | 46.6% | 48.4% | 4.7% short |
This profile sits below the typical Red band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Red band 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 · -0.01 avg rating
Player DNA
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 NiKo 84% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; 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
Areas to improve
T-side openings. Opening success drops from 43% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 618ms 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 5.3/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 23 | 10–13 | 43% | -0.01 | |
| B | 22 | 11–11 | 50% | 0.02 | |
| B | 15 | 8–7 | 53% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| S | 6 | 4–2 | 67% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 3 | 0–3 | 0% | -0.02 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| office | — | 2 | 0–2 | 0% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Dust 2 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 resultsWWLWL
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.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 20.9614% — below the 40% 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 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.01 | 19% | 25 Jun → | ||
| 13–7 | 0.04 | 23% | 22 Jun → | ||
| 6–2 | -0.05 | 55% | 22 Jun → | ||
| 8–13 | -0.05 | 21% | 20 Jun → | ||
| 11–13 | -0.02 | 26% | 20 Jun → | ||
| 15–15 | 0.07 | 22% | 20 Jun → | ||
| 6–13 | -0.03 | 29% | 20 Jun → | ||
| 13–5 | 0.06 | 26% | 20 Jun → | ||
| 13–10 | -0.01 | 9% | 20 Jun → | ||
| 13–11 | -0.03 | 19% | 16 Jun → | ||
| 6–13 | -0.02 | 14% | 16 Jun → | ||
| 13–11 | 0.02 | 26% | 16 Jun → | ||
| 13–7 | 0.00 | 17% | 16 Jun → | ||
| 13–9 | -0.02 | 17% | 11 Jun → | ||
| 15–15 | -0.05 | 26% | 9 Jun → | ||
| 10–13 | -0.04 | 14% | 9 Jun → | ||
| 13–8 | 0.07 | 24% | 9 Jun → | ||
| 13–9 | 0.04 | 17% | 6 Jun → | ||
| 11–13 | 0.00 | 13% | 6 Jun → | ||
| 13–9 | 0.07 | 20% | 6 Jun → | ||
| 13–9 | 0.02 | 28% | 6 Jun → | ||
| 10–13 | 0.03 | 25% | 6 Jun → | ||
| 8–13 | -0.00 | 7% | 6 Jun → | ||
| 3–13 | -0.06 | 17% | 4 Jun → | ||
| 13–0 | 0.05 | 16% | 4 Jun → | ||
| 8–13 | 0.03 | 20% | 4 Jun → | ||
| 13–11 | -0.05 | 9% | 2 Jun → | ||
| 13–16 | -0.00 | 17% | 2 Jun → | ||
| 10–13 | 0.07 | 15% | 2 Jun → | ||
| 8–13 | -0.03 | 10% | 2 Jun → | ||
| 10–13 | -0.04 | 12% | 2 Jun → | ||
| 13–10 | 0.02 | 22% | 1 Jun → | ||
| 11–13 | 0.04 | 19% | 31 May → | ||
| 13–10 | 0.04 | 25% | 31 May → | ||
| 13–7 | 0.01 | 14% | 31 May → | ||
| 13–11 | 0.00 | 22% | 31 May → | ||
| 13–7 | 0.06 | 16% | 31 May → | ||
| 13–6 | 0.11 | 33% | 31 May → | ||
| 15–15 | 0.00 | 14% | 30 May → | ||
| 13–7 | -0.03 | 21% | 30 May → | ||
| 13–7 | 0.07 | 16% | 30 May → | ||
| 15–15 | -0.04 | 13% | 29 May → | ||
| office | 12–12 | 0.05 | 17% | 29 May → | |
| 3–13 | -0.01 | 12% | 29 May → | ||
| 9–13 | -0.04 | 17% | 28 May → | ||
| 5–13 | -0.02 | 32% | 28 May → | ||
| 13–3 | 0.00 | 23% | 28 May → | ||
| 13–9 | -0.02 | 16% | 28 May → | ||
| 7–13 | -0.05 | 27% | 26 May → | ||
| 11–13 | 0.02 | 7% | 26 May → | ||
| 9–13 | 0.13 | 20% | 26 May → | ||
| 13–4 | 0.04 | 16% | 26 May → | ||
| 13–4 | 0.02 | 23% | 26 May → | ||
| 7–13 | 0.01 | 22% | 26 May → | ||
| 13–6 | 0.21 | 28% | 25 May → | ||
| 10–0 | 0.03 | 15% | 25 May → | ||
| 11–13 | 0.03 | 12% | 25 May → | ||
| 13–10 | 0.08 | 22% | 25 May → | ||
| 13–11 | 0.02 | 21% | 25 May → | ||
| 13–9 | 0.02 | 15% | 25 May → | ||
| 13–11 | 0.01 | 25% | 25 May → | ||
| 3–13 | -0.07 | 19% | 25 May → | ||
| 8–13 | 0.05 | 22% | 25 May → | ||
| 6–13 | -0.03 | 35% | 25 May → | ||
| 12–12 | 0.04 | 16% | 24 May → | ||
| 9–13 | -0.08 | 10% | 24 May → | ||
| 4–13 | -0.07 | 33% | 24 May → | ||
| 9–13 | -0.05 | 9% | 24 May → | ||
| 13–16 | -0.02 | 12% | 24 May → | ||
| 16–13 | -0.05 | 13% | 23 May → | ||
| 2–13 | -0.05 | 25% | 23 May → | ||
| 10–13 | -0.02 | 6% | 23 May → | ||
| 13–9 | 0.04 | 14% | 23 May → | ||
| 13–4 | 0.04 | 7% | 23 May → | ||
| 16–14 | -0.00 | 23% | 23 May → | ||
| 16–13 | -0.04 | 14% | 23 May → | ||
| 5–13 | -0.07 | 19% | 23 May → | ||
| 13–9 | 0.05 | 16% | 23 May → | ||
| office | 11–13 | 0.02 | 20% | 23 May → | |
| 11–13 | 0.05 | 6% | 23 May → | ||
| 13–7 | 0.03 | 19% | 23 May → | ||
| 11–13 | 0.08 | 18% | 22 May → | ||
| 6–13 | -0.10 | 5% | 22 May → | ||
| 3–10 | 0.04 | 22% | 22 May → | ||
| 15–15 | -0.02 | 22% | 22 May → | ||
| 8–13 | -0.00 | 17% | 21 May → | ||
| 13–6 | 0.04 | 12% | 21 May → | ||
| 13–8 | -0.01 | 21% | 21 May → | ||
| 15–15 | 0.01 | 21% | 21 May → | ||
| 13–7 | 0.11 | 20% | 21 May → | ||
| 5–13 | -0.06 | 14% | 21 May → | ||
| 12–12 | 0.03 | 23% | 21 May → | ||
| 6–13 | -0.03 | 14% | 21 May → | ||
| 13–9 | 0.01 | 22% | 21 May → | ||
| 13–9 | 0.01 | 20% | 20 May → | ||
| 13–6 | 0.11 | 26% | 20 May → | ||
| 4–13 | -0.07 | 19% | 20 May → | ||
| 13–6 | 0.04 | 5% | 19 May → | ||
| 13–10 | -0.03 | 22% | 19 May → | ||
| 13–8 | 0.10 | 21% | 19 May → |
Match data via Leetify.