blue — CS2 Stats
US76561198830679154[U:1:870413426]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.06 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerEffective flashes
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 s1mple 95% playstyle similarity
Most alike: opening-fight frequency, 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 87 — the mechanical foundation is a clear strength.
CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 71% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 569ms 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 |
|---|---|---|---|---|---|
| B | 32 | 15–17 | 47% | 0.02 | |
| A | 19 | 11–8 | 58% | 0.02 | |
| B | 15 | 7–8 | 47% | 0.01 | |
| C | 10 | 4–6 | 40% | 0.03 | |
| A | 7 | 4–3 | 57% | 0.06 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 3 | 0–3 | 0% | 0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 79% | 1.37 | 16.4 |
| Nuke | 12 | 75% | 1.35 | 15.8 |
| Inferno | 8 | 75% | 1.82 | 16.8 |
| Vertigo | 8 | 50% | 1.07 | 14.9 |
| Dust2 | 7 | 86% | 1.40 | 20.0 |
| Overpass | 6 | 67% | 1.26 | 13.5 |
| Ancient | 6 | 50% | 1.23 | 16.2 |
| Anubis | 4 | 50% | 1.20 | 17.5 |
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.
- 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 37.774% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.02 | 37% | 27 Aug → | ||
| 4–13 | 0.02 | 25% | 27 Aug → | ||
| 2–13 | -0.07 | 33% | 27 Aug → | ||
| 13–6 | 0.00 | 24% | 27 Aug → | ||
| 6–13 | 0.04 | 17% | 27 Aug → | ||
| 13–5 | 0.11 | 32% | 27 Aug → | ||
| 13–8 | 0.06 | 31% | 27 Aug → | ||
| 8–13 | -0.05 | 12% | 27 Aug → | ||
| 7–13 | -0.07 | 14% | 26 Aug → | ||
| 8–13 | -0.07 | 40% | 22 Aug → | ||
| 13–3 | 0.14 | 34% | 22 Aug → | ||
| 13–2 | 0.07 | 42% | 21 Aug → | ||
| 13–8 | 0.05 | 17% | 21 Aug → | ||
| 13–11 | 0.03 | 31% | 21 Aug → | ||
| 11–13 | 0.12 | 31% | 18 Aug → | ||
| 11–13 | 0.05 | 35% | 18 Aug → | ||
| 13–8 | 0.02 | 13% | 18 Aug → | ||
| 13–9 | 0.02 | 29% | 18 Aug → | ||
| 13–2 | 0.08 | 15% | 18 Aug → | ||
| 4–13 | 0.02 | 38% | 18 Aug → | ||
| 3–13 | 0.05 | 30% | 18 Aug → | ||
| 13–5 | 0.02 | 35% | 14 Aug → | ||
| 5–13 | 0.02 | 32% | 14 Aug → | ||
| 7–13 | -0.03 | 14% | 11 Aug → | ||
| 13–11 | 0.03 | 37% | 9 Aug → | ||
| 13–8 | 0.10 | 28% | 9 Aug → | ||
| 13–7 | 0.11 | 23% | 9 Aug → | ||
| 13–8 | 0.08 | 27% | 9 Aug → | ||
| 12–12 | 0.07 | 38% | 9 Aug → | ||
| 4–13 | -0.07 | 12% | 9 Aug → | ||
| 3–13 | -0.05 | 15% | 9 Aug → | ||
| 13–6 | 0.04 | 14% | 9 Aug → | ||
| 3–13 | -0.08 | 32% | 9 Aug → | ||
| 5–13 | -0.01 | 22% | 9 Aug → | ||
| 3–13 | -0.00 | 22% | 9 Aug → | ||
| 13–6 | 0.02 | 25% | 8 Aug → | ||
| 12–12 | 0.11 | 22% | 8 Aug → | ||
| 13–0 | 0.13 | 25% | 8 Aug → | ||
| 13–8 | -0.03 | 31% | 8 Aug → | ||
| 6–13 | -0.07 | 29% | 8 Aug → | ||
| 13–7 | -0.02 | 28% | 8 Aug → | ||
| 12–12 | 0.13 | 25% | 8 Aug → | ||
| 7–13 | 0.11 | 27% | 7 Aug → | ||
| 13–9 | 0.02 | 26% | 7 Aug → | ||
| 13–4 | -0.08 | 25% | 7 Aug → | ||
| 13–3 | 0.02 | 28% | 7 Aug → | ||
| 6–1 | 0.12 | 18% | 7 Aug → | ||
| 12–12 | 0.00 | 23% | 7 Aug → | ||
| 13–6 | 0.04 | 24% | 7 Aug → | ||
| 5–13 | 0.01 | 17% | 7 Aug → | ||
| 13–3 | 0.03 | 32% | 4 Aug → | ||
| 13–10 | -0.04 | 18% | 4 Aug → | ||
| 12–12 | 0.04 | 26% | 4 Aug → | ||
| 13–5 | 0.08 | 42% | 4 Aug → | ||
| 13–9 | 0.03 | 17% | 4 Aug → | ||
| 13–10 | -0.01 | 36% | 4 Aug → | ||
| 5–2 | 0.08 | 27% | 4 Aug → | ||
| 13–9 | -0.05 | 24% | 4 Aug → | ||
| 7–13 | 0.00 | 30% | 4 Aug → | ||
| 13–3 | 0.06 | 29% | 4 Aug → | ||
| 12–12 | 0.05 | 34% | 3 Aug → | ||
| 9–13 | 0.06 | 35% | 3 Aug → | ||
| 3–13 | -0.05 | 36% | 3 Aug → | ||
| 7–13 | 0.04 | 43% | 3 Aug → | ||
| 13–10 | -0.01 | 16% | 3 Aug → | ||
| 13–2 | 0.18 | 21% | 3 Aug → | ||
| 13–11 | 0.04 | 23% | 3 Aug → | ||
| 13–2 | -0.00 | 32% | 3 Aug → | ||
| 10–13 | -0.03 | 33% | 3 Aug → | ||
| 7–13 | 0.07 | 23% | 2 Aug → | ||
| 3–13 | -0.00 | 35% | 2 Aug → | ||
| 13–4 | 0.08 | 35% | 1 Aug → | ||
| 13–10 | 0.02 | 7% | 31 Jul → | ||
| 10–13 | 0.00 | 18% | 31 Jul → | ||
| 12–12 | -0.02 | 25% | 31 Jul → | ||
| 13–11 | 0.07 | 33% | 30 Jul → | ||
| 11–13 | -0.07 | 33% | 28 Jul → | ||
| 1–13 | -0.04 | 30% | 28 Jul → | ||
| 13–3 | 0.17 | 33% | 28 Jul → | ||
| 7–1 | -0.04 | 67% | 28 Jul → | ||
| 10–13 | -0.03 | 25% | 27 Jul → | ||
| 0–7 | -0.08 | 33% | 27 Jul → | ||
| 6–13 | 0.03 | 38% | 27 Jul → | ||
| 6–13 | 0.04 | 38% | 27 Jul → | ||
| 13–7 | -0.02 | 23% | 27 Jul → | ||
| 13–4 | 0.05 | 20% | 27 Jul → | ||
| 6–13 | -0.02 | 16% | 27 Jul → | ||
| 5–13 | -0.02 | 28% | 27 Jul → | ||
| 6–13 | 0.07 | 32% | 26 Jul → | ||
| 12–12 | 0.06 | 19% | 26 Jul → | ||
| 13–7 | 0.02 | 13% | 25 Jul → | ||
| 13–6 | 0.05 | 23% | 25 Jul → | ||
| 13–6 | 0.05 | 15% | 25 Jul → | ||
| 13–8 | 0.09 | 25% | 25 Jul → | ||
| 13–7 | 0.07 | 20% | 25 Jul → | ||
| 11–13 | 0.10 | 27% | 25 Jul → | ||
| 8–13 | -0.03 | 50% | 25 Jul → | ||
| 8–13 | -0.00 | 13% | 25 Jul → | ||
| 12–12 | 0.05 | 18% | 25 Jul → | ||
| 12–12 | -0.06 | 23% | 25 Jul → |
Match data via Leetify.