SPEAKER FREAKER — CS2 Stats
76561199434777697[U:1:1474511969]
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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 70% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-fight frequency; 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 37% on CT to 11% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 689ms 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 (×1.00 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 |
|---|---|---|---|---|---|
 cache | B | 60 | 31–29 | 52% | -0.02 |
 mirage | A | 11 | 7–4 | 64% | -0.04 |
 dust2 | C | 11 | 4–7 | 36% | -0.01 |
 ancient | C | 5 | 2–3 | 40% | -0.02 |
 anubis | — | 4 | 2–2 | 50% | -0.02 |
 overpass | — | 2 | 1–1 | 50% | -0.03 |
 inferno | — | 2 | 0–2 | 0% | -0.05 |
| jura | — | 2 | 1–1 | 50% | 0.01 |
 vertigo | — | 1 | 0–1 | 0% | -0.05 |
| office | — | 1 | 1–0 | 100% | -0.01 |
 train | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 50% | 0.97 | 9.5 |
| Dust2 | 1 | 100% | 0.57 | 8.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.4489% — below the 15% 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 10.6845% — 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.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–10 | -0.08 | 9% | 22 May → | |
| cache | 13–11 | -0.03 | 13% | 22 May → | |
| cache | 12–12 | -0.03 | 9% | 22 May → | |
| cache | 4–13 | -0.07 | 8% | 20 May → | |
| cache | 13–6 | 0.06 | 7% | 20 May → | |
| cache | 7–13 | -0.01 | 7% | 20 May → | |
| cache | 13–8 | 0.02 | 6% | 20 May → | |
| cache | 10–5 | -0.00 | 5% | 20 May → | |
| cache | 13–10 | -0.09 | 7% | 20 May → | |
| cache | 13–3 | 0.11 | 14% | 19 May → | |
| cache | 11–13 | -0.03 | 8% | 19 May → | |
| cache | 13–11 | -0.04 | 12% | 19 May → | |
| cache | 13–7 | -0.04 | 8% | 19 May → | |
| cache | 11–13 | -0.06 | 7% | 19 May → | |
| cache | 5–13 | -0.05 | 28% | 19 May → | |
| cache | 13–10 | -0.06 | 5% | 19 May → | |
| cache | 13–8 | -0.03 | 19% | 18 May → | |
| cache | 13–3 | -0.03 | 5% | 18 May → | |
| cache | 13–8 | 0.05 | 11% | 18 May → | |
| cache | 8–13 | 0.02 | 15% | 18 May → | |
| mirage | 13–9 | 0.03 | 23% | 18 May → | |
| cache | 7–13 | -0.09 | 10% | 18 May → | |
| cache | 13–4 | 0.03 | 14% | 18 May → | |
| mirage | 13–10 | -0.09 | 13% | 17 May → | |
| cache | 7–13 | -0.10 | 18% | 15 May → | |
| cache | 13–6 | 0.00 | 19% | 15 May → | |
| overpass | 1–7 | -0.05 | 13% | 15 May → | |
| cache | 6–13 | 0.02 | 6% | 13 May → | |
| cache | 13–2 | 0.04 | 41% | 13 May → | |
| dust2 | 9–13 | -0.06 | 21% | 7 May → | |
| cache | 7–13 | -0.03 | 8% | 7 May → | |
| cache | 13–3 | -0.04 | 10% | 7 May → | |
| cache | 10–13 | -0.04 | 14% | 7 May → | |
| cache | 13–9 | 0.03 | 12% | 7 May → | |
| cache | 13–7 | 0.02 | 18% | 7 May → | |
| cache | 3–13 | 0.04 | 9% | 7 May → | |
| cache | 13–6 | 0.00 | 16% | 6 May → | |
| cache | 7–13 | -0.07 | 7% | 6 May → | |
| cache | 13–7 | 0.07 | 12% | 6 May → | |
| cache | 0–6 | -0.06 | 25% | 6 May → | |
| cache | 3–13 | -0.10 | 7% | 6 May → | |
| mirage | 7–13 | -0.08 | 9% | 6 May → | |
| cache | 13–3 | -0.00 | 15% | 6 May → | |
| cache | 13–7 | -0.11 | 18% | 6 May → | |
| cache | 12–12 | -0.03 | 9% | 6 May → | |
| cache | 7–13 | -0.01 | 12% | 6 May → | |
| cache | 13–10 | -0.05 | 20% | 6 May → | |
| cache | 2–13 | -0.07 | 21% | 6 May → | |
| cache | 12–12 | -0.01 | 13% | 5 May → | |
| cache | 10–13 | -0.01 | 11% | 5 May → | |
| cache | 13–4 | 0.08 | 11% | 5 May → | |
| cache | 10–13 | -0.07 | 13% | 5 May → | |
| cache | 13–8 | -0.05 | 12% | 5 May → | |
| cache | 1–1 | -0.05 | 50% | 5 May → | |
| cache | 13–3 | -0.01 | 17% | 5 May → | |
| cache | 1–13 | -0.06 | 14% | 5 May → | |
| mirage | 16–12 | 0.02 | 12% | 5 May → | |
| dust2 | 9–13 | 0.03 | 12% | 5 May → | |
| mirage | 13–5 | -0.02 | 20% | 5 May → | |
| cache | 9–13 | -0.08 | 17% | 4 May → | |
| ancient | 10–13 | -0.05 | 6% | 4 May → | |
| mirage | 3–13 | -0.07 | 11% | 4 May → | |
| dust2 | 13–5 | -0.00 | 8% | 4 May → | |
| dust2 | 12–12 | -0.03 | 4% | 4 May → | |
| cache | 12–12 | -0.01 | 15% | 4 May → | |
| cache | 12–12 | 0.01 | 8% | 3 May → | |
| dust2 | 13–11 | -0.04 | 12% | 3 May → | |
| cache | 13–10 | -0.06 | 13% | 2 May → | |
| dust2 | 13–5 | -0.01 | 23% | 1 May → | |
| cache | 10–13 | -0.01 | 12% | 1 May → | |
| anubis | 2–8 | 0.07 | 23% | 1 May → | |
| ancient | 7–13 | -0.04 | 8% | 30 Apr → | |
| dust2 | 6–13 | -0.07 | 15% | 30 Apr → | |
| mirage | 8–13 | -0.04 | 4% | 30 Apr → | |
| cache | 13–10 | 0.07 | 5% | 30 Apr → | |
| cache | 5–13 | -0.06 | 8% | 30 Apr → | |
| cache | 12–12 | -0.02 | 11% | 30 Apr → | |
| cache | 13–5 | 0.03 | 9% | 30 Apr → | |
| inferno | 15–15 | -0.02 | 10% | 27 Apr → | |
| inferno | 7–13 | -0.09 | 14% | 27 Apr → | |
| ancient | 13–1 | 0.00 | 12% | 24 Apr → | |
| mirage | 13–10 | 0.01 | 11% | 24 Apr → | |
| ancient | 15–15 | -0.04 | 9% | 23 Apr → | |
| mirage | 12–12 | -0.02 | 11% | 11 Jun → | |
| anubis | 13–10 | -0.06 | 5% | 11 Jun → | |
| dust2 | 6–0 | 0.11 | 5% | 11 Jun → | |
| mirage | 13–5 | -0.04 | 7% | 10 Jun → | |
| mirage | 9–4 | -0.10 | 0% | 10 Jun → | |
| dust2 | 8–13 | 0.03 | 18% | 10 Jun → | |
| anubis | 16–13 | -0.01 | 8% | 9 Jun → | |
| dust2 | 12–12 | -0.01 | 9% | 9 Jun → | |
| vertigo | 7–13 | -0.05 | 24% | 9 Jun → | |
| office | 12–6 | -0.01 | 4% | 9 Jun → | |
| jura | 13–3 | 0.04 | 16% | 9 Jun → | |
| jura | 12–12 | -0.02 | 16% | 9 Jun → | |
| overpass | 13–11 | -0.01 | 12% | 9 Jun → | |
| ancient | 13–4 | 0.04 | 13% | 9 Jun → | |
| dust2 | 5–13 | -0.06 | 13% | 9 Jun → | |
| anubis | 4–13 | -0.07 | 15% | 9 Jun → | |
| train | 13–7 | 0.02 | 12% | 9 Jun → |
Match data via Leetify.