d — CS2 Stats
JP76561198062651557[U:1:102385829]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 24,326
- Next: Red band at 25,000 — 674 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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 |
|---|---|---|
| Headshot rate | 49.4% | 52.8% |
| Shot accuracy | 21.8% | 13.7% |
| Kill/death ratio | 1.48 | 1.08 |
| Match win rate | 37.2% | 49.2% |
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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
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
High utility contribution
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 86% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim profile; lower opening-duel success.
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
Utility. Utility score of 76 — grenade impact well above the norm.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Reaction time. 608ms 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 6.3/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 28 | 18–10 | 64% | 0.02 | |
| A | 20 | 12–8 | 60% | 0.03 | |
| B | 15 | 7–8 | 47% | 0.00 | |
| C | 14 | 5–9 | 36% | 0.01 | |
| D | 10 | 3–7 | 30% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.08 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 3 | 3–0 | 100% | 0.10 | |
| — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (30% over 10). 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 14 | 57% | 1.37 | 17.9 |
| Anubis | 12 | 67% | 1.82 | 19.8 |
| Mirage | 7 | 29% | 0.89 | 14.7 |
| Dust2 | 3 | 67% | 1.13 | 19.7 |
| Vertigo | 3 | 67% | 0.89 | 15.7 |
| Inferno | 2 | 50% | 1.33 | 26.0 |
| Nuke | 1 | 100% | 1.75 | 14.0 |
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.
- 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 30.5286% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.01 | 23% | 27 Aug → | ||
| 13–9 | 0.07 | 35% | 27 Aug → | ||
| 10–13 | 0.01 | 21% | 27 Aug → | ||
| 13–6 | 0.03 | 23% | 27 Aug → | ||
| 5–13 | -0.03 | 24% | 27 Aug → | ||
| 3–13 | -0.01 | 26% | 27 Aug → | ||
| 13–11 | -0.01 | 26% | 25 Aug → | ||
| 9–13 | 0.02 | 15% | 25 Aug → | ||
| 13–4 | 0.03 | 23% | 25 Aug → | ||
| 4–13 | 0.00 | 14% | 23 Aug → | ||
| 13–7 | -0.00 | 15% | 23 Aug → | ||
| 9–13 | -0.01 | 19% | 23 Aug → | ||
| 10–13 | 0.03 | 17% | 23 Aug → | ||
| 13–11 | 0.01 | 15% | 20 Aug → | ||
| 12–12 | 0.07 | 22% | 19 Aug → | ||
| 7–13 | 0.03 | 13% | 19 Aug → | ||
| 13–5 | 0.03 | 11% | 19 Aug → | ||
| 13–10 | 0.09 | 14% | 19 Aug → | ||
| 6–13 | -0.01 | 16% | 17 Aug → | ||
| 12–12 | -0.00 | 14% | 17 Aug → | ||
| 10–13 | 0.04 | 19% | 17 Aug → | ||
| 13–3 | 0.01 | 33% | 17 Aug → | ||
| 14–16 | -0.01 | 15% | 11 Aug → | ||
| 8–13 | 0.03 | 18% | 11 Aug → | ||
| 13–11 | -0.02 | 14% | 11 Aug → | ||
| 13–3 | 0.02 | 8% | 11 Aug → | ||
| 13–10 | 0.14 | 22% | 9 Aug → | ||
| 13–0 | 0.11 | 33% | 9 Aug → | ||
| 4–13 | -0.06 | 11% | 9 Aug → | ||
| 13–6 | 0.02 | 23% | 9 Aug → | ||
| 8–13 | 0.06 | 12% | 7 Aug → | ||
| 13–5 | 0.16 | 14% | 7 Aug → | ||
| 12–12 | 0.04 | 14% | 7 Aug → | ||
| 13–8 | 0.04 | 13% | 5 Aug → | ||
| 13–0 | 0.11 | 33% | 5 Aug → | ||
| 13–11 | -0.05 | 8% | 5 Aug → | ||
| 15–15 | 0.07 | 14% | 5 Aug → | ||
| 9–13 | 0.07 | 16% | 4 Aug → | ||
| 13–10 | 0.06 | 16% | 4 Aug → | ||
| 5–13 | 0.08 | 25% | 4 Aug → | ||
| 13–11 | 0.04 | 22% | 3 Aug → | ||
| 13–10 | -0.04 | 10% | 3 Aug → | ||
| 4–13 | -0.02 | 11% | 3 Aug → | ||
| 13–3 | -0.01 | 17% | 3 Aug → | ||
| 15–15 | 0.05 | 22% | 1 Aug → | ||
| 1–4 | -0.02 | 18% | 1 Aug → | ||
| 12–12 | -0.02 | 18% | 1 Aug → | ||
| 7–13 | -0.08 | 10% | 1 Aug → | ||
| 13–3 | 0.11 | 17% | 1 Aug → | ||
| 10–13 | -0.06 | 11% | 27 Jul → | ||
| 13–7 | 0.09 | 9% | 26 Jul → | ||
| 15–15 | 0.06 | 19% | 23 Jul → | ||
| 13–7 | 0.03 | 13% | 23 Jul → | ||
| 13–8 | 0.03 | 15% | 23 Jul → | ||
| 13–5 | 0.02 | 10% | 22 Jul → | ||
| 9–13 | -0.05 | 9% | 22 Jul → | ||
| 10–13 | 0.06 | 20% | 22 Jul → | ||
| 13–2 | 0.02 | 16% | 21 Jul → | ||
| 13–7 | -0.04 | 11% | 21 Jul → | ||
| 5–13 | -0.06 | 12% | 21 Jul → | ||
| 2–13 | -0.05 | 11% | 20 Jul → | ||
| 10–13 | -0.02 | 7% | 20 Jul → | ||
| 13–7 | 0.04 | 13% | 20 Jul → | ||
| 13–1 | 0.09 | 16% | 20 Jul → | ||
| 13–11 | -0.02 | 10% | 20 Jul → | ||
| 13–2 | 0.14 | 12% | 19 Jul → | ||
| 12–12 | 0.04 | 16% | 19 Jul → | ||
| 13–6 | 0.09 | 13% | 19 Jul → | ||
| 13–10 | -0.02 | 19% | 19 Jul → | ||
| 13–5 | 0.04 | 16% | 19 Jul → | ||
| 7–13 | -0.03 | 16% | 19 Jul → | ||
| 13–11 | 0.06 | 12% | 18 Jul → | ||
| 13–0 | -0.02 | 0% | 18 Jul → | ||
| 13–11 | 0.09 | 10% | 18 Jul → | ||
| 13–2 | 0.00 | 7% | 18 Jul → | ||
| 0–13 | -0.11 | 17% | 16 Jul → | ||
| 13–3 | -0.02 | 8% | 16 Jul → | ||
| 10–13 | 0.04 | 15% | 16 Jul → | ||
| 13–7 | 0.03 | 9% | 16 Jul → | ||
| 10–13 | -0.04 | 16% | 16 Jul → | ||
| 13–4 | 0.06 | 21% | 16 Jul → | ||
| 13–3 | 0.08 | 12% | 16 Jul → | ||
| 9–13 | -0.05 | 10% | 16 Jul → | ||
| 15–15 | 0.02 | 21% | 14 Jul → | ||
| 8–13 | 0.03 | 22% | 14 Jul → | ||
| 13–1 | -0.00 | 14% | 14 Jul → | ||
| 8–13 | -0.03 | 13% | 14 Jul → | ||
| 16–14 | -0.01 | 18% | 13 Jul → | ||
| 13–4 | -0.03 | 5% | 13 Jul → | ||
| 5–13 | -0.01 | 14% | 13 Jul → | ||
| 11–13 | -0.04 | 16% | 12 Jul → | ||
| 13–1 | -0.00 | 33% | 12 Jul → | ||
| 13–7 | -0.00 | 0% | 12 Jul → | ||
| 13–10 | 0.01 | 34% | 8 Jul → | ||
| 13–2 | 0.06 | 18% | 8 Jul → | ||
| 13–11 | 0.03 | 8% | 7 Jul → | ||
| 9–13 | -0.05 | 9% | 7 Jul → | ||
| 13–3 | 0.05 | 18% | 4 Jul → | ||
| 10–13 | 0.05 | 23% | 4 Jul → | ||
| 7–13 | 0.00 | 20% | 4 Jul → |
Match data via Leetify.
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