FREAK — CS2 Stats
76561198123408469[U:1:163142741]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong 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 donk 95% playstyle similarity
Most alike: aim profile, opening-fight frequency.
Where you differ: lower 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 98 — the mechanical foundation is a clear strength.
CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 60% on CT to 40% 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 7.7/10 (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 | 36 | 21–15 | 58% | 0.06 | |
| S | 29 | 19–10 | 66% | 0.06 | |
| A | 12 | 7–5 | 58% | 0.04 | |
| B | 10 | 5–5 | 50% | 0.06 | |
| S | 6 | 4–2 | 67% | 0.05 | |
| — | 3 | 2–1 | 67% | 0.13 | |
| — | 3 | 1–2 | 33% | 0.04 | |
| — | 1 | 0–1 | 0% | 0.10 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Ancient 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 21 | 67% | 1.50 | 18.3 |
| Dust2 | 19 | 68% | 1.43 | 17.3 |
| Ancient | 8 | 75% | 1.53 | 19.6 |
| Inferno | 6 | 67% | 1.35 | 16.3 |
| Anubis | 6 | 67% | 1.22 | 19.5 |
| Nuke | 5 | 80% | 1.48 | 18.2 |
| Cache | 2 | 50% | 1.26 | 22.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3683 — below the 0.5 mark we flag
- 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 39.8473% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.08 | 25% | 22 Aug → | ||
| 13–8 | 0.03 | 24% | 22 Aug → | ||
| 3–5 | 0.01 | 19% | 22 Aug → | ||
| 7–3 | 0.07 | 43% | 22 Aug → | ||
| 3–13 | 0.02 | 26% | 21 Aug → | ||
| 13–3 | 0.10 | 23% | 21 Aug → | ||
| 7–13 | 0.08 | 41% | 21 Aug → | ||
| 13–8 | 0.06 | 23% | 21 Aug → | ||
| 13–1 | 0.03 | 44% | 21 Aug → | ||
| 13–3 | 0.20 | 16% | 21 Aug → | ||
| 13–16 | 0.04 | 16% | 21 Aug → | ||
| 13–10 | 0.05 | 22% | 21 Aug → | ||
| 13–7 | 0.14 | 23% | 21 Aug → | ||
| 6–13 | 0.02 | 18% | 21 Aug → | ||
| 2–13 | -0.06 | 19% | 21 Aug → | ||
| 13–3 | 0.02 | 23% | 21 Aug → | ||
| 10–13 | 0.10 | 19% | 20 Aug → | ||
| 13–11 | 0.03 | 12% | 19 Aug → | ||
| 8–13 | -0.01 | 10% | 19 Aug → | ||
| 13–4 | 0.17 | 16% | 18 Aug → | ||
| 13–10 | 0.07 | 18% | 18 Aug → | ||
| 0–13 | -0.02 | 80% | 17 Aug → | ||
| 7–13 | 0.05 | 27% | 17 Aug → | ||
| 13–5 | 0.08 | 22% | 17 Aug → | ||
| 5–13 | -0.02 | 22% | 17 Aug → | ||
| 5–13 | 0.10 | 16% | 17 Aug → | ||
| 13–8 | 0.07 | 18% | 17 Aug → | ||
| 13–6 | 0.19 | 25% | 17 Aug → | ||
| 10–13 | 0.10 | 28% | 16 Aug → | ||
| 12–12 | 0.11 | 26% | 16 Aug → | ||
| 13–9 | 0.06 | 15% | 16 Aug → | ||
| 13–5 | -0.02 | 11% | 16 Aug → | ||
| 13–11 | 0.04 | 22% | 16 Aug → | ||
| 13–9 | 0.17 | 20% | 16 Aug → | ||
| 13–8 | 0.07 | 24% | 16 Aug → | ||
| 5–13 | 0.08 | 11% | 16 Aug → | ||
| 13–3 | 0.05 | 16% | 16 Aug → | ||
| 13–8 | 0.04 | 12% | 16 Aug → | ||
| 0–13 | -0.02 | 33% | 16 Aug → | ||
| 13–3 | 0.07 | 15% | 16 Aug → | ||
| 13–3 | 0.17 | 45% | 16 Aug → | ||
| 12–12 | 0.02 | 9% | 16 Aug → | ||
| 13–3 | 0.04 | 23% | 16 Aug → | ||
| 13–3 | 0.08 | 21% | 16 Aug → | ||
| 13–0 | 0.08 | 34% | 16 Aug → | ||
| 13–8 | 0.04 | 25% | 15 Aug → | ||
| 12–12 | 0.04 | 23% | 15 Aug → | ||
| 13–8 | 0.01 | 26% | 15 Aug → | ||
| 13–3 | 0.08 | 19% | 15 Aug → | ||
| 13–8 | 0.13 | 35% | 13 Aug → | ||
| 13–10 | 0.05 | 24% | 13 Aug → | ||
| 13–9 | 0.08 | 17% | 13 Aug → | ||
| 13–11 | 0.03 | 17% | 13 Aug → | ||
| 13–11 | 0.02 | 24% | 13 Aug → | ||
| 2–8 | 0.02 | 53% | 13 Aug → | ||
| 13–1 | 0.15 | 34% | 13 Aug → | ||
| 5–13 | 0.04 | 25% | 13 Aug → | ||
| 7–13 | -0.03 | 34% | 12 Aug → | ||
| 13–8 | 0.01 | 38% | 12 Aug → | ||
| 13–11 | -0.03 | 24% | 12 Aug → | ||
| 16–13 | 0.09 | 21% | 12 Aug → | ||
| 12–16 | 0.04 | 19% | 12 Aug → | ||
| 13–4 | 0.10 | 30% | 12 Aug → | ||
| 16–14 | 0.06 | 17% | 12 Aug → | ||
| 13–9 | 0.08 | 29% | 12 Aug → | ||
| 13–10 | 0.06 | 20% | 12 Aug → | ||
| 13–5 | 0.00 | 25% | 12 Aug → | ||
| 13–4 | 0.06 | 24% | 12 Aug → | ||
| 5–13 | -0.04 | 19% | 12 Aug → | ||
| 15–15 | 0.02 | 29% | 12 Aug → | ||
| 11–13 | 0.06 | 22% | 12 Aug → | ||
| 9–13 | 0.02 | 16% | 11 Aug → | ||
| 9–13 | 0.05 | 38% | 11 Aug → | ||
| 2–13 | 0.02 | 29% | 11 Aug → | ||
| 13–5 | 0.08 | 19% | 11 Aug → | ||
| 13–10 | 0.12 | 21% | 11 Aug → | ||
| 13–8 | 0.08 | 20% | 11 Aug → | ||
| 12–6 | 0.02 | 20% | 11 Aug → | ||
| 13–8 | 0.14 | 22% | 11 Aug → | ||
| 13–3 | 0.16 | 25% | 11 Aug → | ||
| 13–8 | -0.00 | 30% | 11 Aug → | ||
| 10–13 | 0.18 | 21% | 10 Aug → | ||
| 10–0 | 0.09 | 6% | 10 Aug → | ||
| 3–13 | 0.01 | 14% | 10 Aug → | ||
| 13–8 | 0.07 | 20% | 10 Aug → | ||
| 15–15 | -0.03 | 19% | 10 Aug → | ||
| 13–4 | 0.17 | 28% | 10 Aug → | ||
| 15–15 | 0.08 | 21% | 9 Aug → | ||
| 11–13 | 0.05 | 15% | 8 Aug → | ||
| 12–16 | 0.05 | 18% | 8 Aug → | ||
| 13–11 | -0.01 | 19% | 8 Aug → | ||
| 6–13 | -0.06 | 4% | 8 Aug → | ||
| 13–16 | 0.06 | 15% | 8 Aug → | ||
| 15–15 | 0.10 | 23% | 7 Aug → | ||
| 6–13 | 0.06 | 42% | 7 Aug → | ||
| 15–15 | 0.06 | 20% | 7 Aug → | ||
| 13–9 | 0.00 | 26% | 7 Aug → | ||
| 13–8 | 0.07 | 24% | 6 Aug → | ||
| 15–15 | 0.04 | 20% | 6 Aug → | ||
| 13–7 | 0.20 | 17% | 6 Aug → |
Match data via Leetify.