Freakosuave — CS2 Stats
76561197987047876[U:1:26782148]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective 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 NiKo 88% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Flashes. 0.80 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 563ms 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 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 10–12 | 45% | -0.03 | |
| C | 22 | 9–13 | 41% | -0.02 | |
| D | 14 | 3–11 | 21% | -0.07 | |
| D | 14 | 4–10 | 29% | -0.03 | |
| A | 13 | 8–5 | 62% | 0.00 | |
| S | 6 | 5–1 | 83% | 0.00 | |
| S | 5 | 4–1 | 80% | 0.00 | |
| — | 4 | 2–2 | 50% | -0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 223 | 52% | 0.84 | 12.6 |
| Dust2 | 160 | 59% | 0.90 | 12.4 |
| Nuke | 128 | 49% | 0.84 | 13.8 |
| Anubis | 97 | 49% | 0.80 | 12.3 |
| Ancient | 91 | 42% | 0.85 | 12.4 |
| Mirage | 84 | 37% | 0.73 | 11.3 |
| Overpass | 44 | 57% | 0.86 | 13.6 |
| Train | 25 | 56% | 0.69 | 11.0 |
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 30.7156% — 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.
21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.08 | 2% | 26 Aug → | ||
| 11–13 | -0.00 | 20% | 15 Aug → | ||
| 13–7 | -0.00 | 13% | 15 Aug → | ||
| 5–13 | -0.07 | 34% | 15 Aug → | ||
| 10–13 | -0.04 | 6% | 12 Aug → | ||
| 7–13 | -0.06 | 18% | 7 Aug → | ||
| 11–13 | -0.04 | 10% | 5 Aug → | ||
| 12–12 | 0.01 | 24% | 18 Jul → | ||
| 6–13 | -0.06 | 13% | 18 Jul → | ||
| 6–13 | -0.03 | 19% | 18 Jul → | ||
| 13–6 | 0.01 | 20% | 17 Jul → | ||
| 11–13 | 0.03 | 12% | 17 Jul → | ||
| 7–13 | -0.11 | 15% | 16 Jul → | ||
| 12–12 | -0.01 | 22% | 16 Jul → | ||
| 13–6 | 0.07 | 14% | 13 Jul → | ||
| 10–13 | -0.06 | 10% | 12 Jul → | ||
| 16–14 | -0.02 | 11% | 12 Jul → | ||
| 13–4 | 0.06 | 26% | 12 Jul → | ||
| 11–13 | -0.06 | 3% | 9 Jul → | ||
| 13–9 | -0.04 | 11% | 9 Jul → | ||
| 13–10 | -0.02 | 13% | 7 Jul → | ||
| 13–6 | -0.02 | 19% | 4 Jul → | ||
| 11–13 | -0.00 | 14% | 4 Jul → | ||
| 9–0 | -0.02 | 38% | 4 Jul → | ||
| 13–4 | -0.03 | 0% | 3 Jul → | ||
| 5–13 | -0.10 | 15% | 3 Jul → | ||
| 8–13 | -0.06 | 16% | 3 Jul → | ||
| 12–16 | -0.03 | 17% | 30 Jun → | ||
| 1–13 | -0.08 | 22% | 28 Jun → | ||
| 13–2 | 0.09 | 22% | 28 Jun → | ||
| 13–4 | 0.03 | 11% | 28 Jun → | ||
| 5–13 | -0.12 | 27% | 28 Jun → | ||
| 6–13 | -0.08 | 17% | 15 Jun → | ||
| 9–13 | -0.05 | 19% | 6 Jun → | ||
| 6–13 | -0.04 | 16% | 6 Jun → | ||
| 9–13 | -0.06 | 30% | 2 Jun → | ||
| 13–5 | 0.00 | 10% | 1 Jun → | ||
| 6–13 | -0.06 | 17% | 25 May → | ||
| 13–8 | -0.02 | 20% | 25 May → | ||
| 13–9 | -0.04 | 18% | 25 May → | ||
| 1–13 | -0.05 | 24% | 23 May → | ||
| 13–8 | -0.02 | 7% | 23 May → | ||
| 5–13 | -0.04 | 12% | 22 May → | ||
| 6–13 | -0.06 | 18% | 22 May → | ||
| 13–8 | -0.02 | 15% | 13 May → | ||
| 8–13 | -0.12 | 14% | 7 May → | ||
| 13–10 | -0.03 | 26% | 7 May → | ||
| 12–12 | -0.08 | 18% | 7 May → | ||
| 14–16 | -0.07 | 11% | 6 May → | ||
| 11–13 | 0.01 | 21% | 4 May → | ||
| 7–13 | -0.01 | 22% | 4 May → | ||
| 13–5 | 0.01 | 18% | 2 May → | ||
| 13–9 | 0.02 | 18% | 28 Apr → | ||
| 16–13 | -0.05 | 11% | 23 Apr → | ||
| 13–7 | 0.04 | 20% | 22 Apr → | ||
| 22–18 | -0.07 | 7% | 22 Apr → | ||
| 13–3 | -0.05 | 10% | 21 Apr → | ||
| 16–14 | -0.04 | 19% | 21 Apr → | ||
| 10–13 | -0.03 | 11% | 20 Apr → | ||
| 13–4 | 0.03 | 31% | 20 Apr → | ||
| 6–13 | -0.05 | 18% | 15 Apr → | ||
| 7–13 | 0.01 | 16% | 13 Apr → | ||
| 13–7 | 0.01 | 19% | 13 Apr → | ||
| 13–2 | 0.12 | 27% | 13 Apr → | ||
| 13–1 | 0.05 | 14% | 12 Apr → | ||
| 12–16 | 0.05 | 8% | 11 Apr → | ||
| 13–10 | -0.01 | 15% | 11 Apr → | ||
| 7–13 | -0.04 | 15% | 10 Apr → | ||
| 16–14 | -0.03 | 16% | 9 Apr → | ||
| 13–10 | 0.01 | 19% | 5 Apr → | ||
| 9–13 | -0.03 | 15% | 5 Apr → | ||
| 6–13 | -0.08 | 15% | 5 Apr → | ||
| 3–13 | -0.06 | 29% | 2 Apr → | ||
| 10–13 | -0.03 | 12% | 2 Apr → | ||
| 10–13 | -0.05 | 19% | 25 Mar → | ||
| 11–13 | -0.00 | 11% | 24 Mar → | ||
| 10–13 | 0.02 | 15% | 24 Mar → | ||
| 16–14 | -0.02 | 11% | 24 Mar → | ||
| 5–13 | -0.05 | 11% | 18 Mar → | ||
| 5–13 | -0.04 | 15% | 17 Mar → | ||
| 11–13 | -0.07 | 10% | 16 Mar → | ||
| 3–13 | -0.04 | 21% | 16 Mar → | ||
| 4–13 | -0.07 | 21% | 10 Mar → | ||
| 3–13 | -0.05 | 9% | 10 Mar → | ||
| 9–13 | -0.02 | 7% | 9 Mar → | ||
| 13–11 | 0.01 | 14% | 9 Mar → | ||
| 13–8 | -0.02 | 10% | 8 Mar → | ||
| 19–16 | 0.02 | 22% | 8 Mar → | ||
| 13–9 | -0.05 | 24% | 6 Mar → | ||
| 13–7 | -0.02 | 14% | 6 Mar → | ||
| 16–12 | -0.01 | 24% | 5 Mar → | ||
| 13–11 | -0.06 | 6% | 5 Mar → | ||
| 7–13 | -0.07 | 0% | 5 Mar → | ||
| 13–7 | -0.02 | 8% | 4 Mar → | ||
| 19–15 | 0.01 | 30% | 4 Mar → | ||
| 13–5 | 0.02 | 15% | 27 Feb → | ||
| 8–13 | -0.00 | 21% | 27 Feb → | ||
| 13–9 | 0.04 | 26% | 26 Feb → | ||
| 8–13 | -0.03 | 12% | 26 Feb → | ||
| 16–14 | -0.02 | 20% | 26 Feb → |
Match data via Leetify.