fidg — CS2 Stats
76561198166551685[U:1:206285957]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 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 72% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.4/10 (Learning), 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 |
|---|---|---|---|---|---|
 nuke | B | 42 | 19–23 | 45% | 0.02 |
 cache | C | 27 | 12–15 | 44% | -0.00 |
| office | D | 13 | 3–10 | 23% | 0.07 |
 mirage | A | 8 | 5–3 | 63% | 0.01 |
 dust2 | — | 4 | 2–2 | 50% | -0.02 |
 ancient | — | 3 | 1–2 | 33% | 0.01 |
| italy | — | 2 | 0–2 | 0% | 0.18 |
 train | — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 52 | 48% | 1.08 | 13.5 |
| Nuke | 18 | 56% | 1.38 | 17.8 |
| Vertigo | 18 | 61% | 1.12 | 14.6 |
| Inferno | 16 | 62% | 1.25 | 16.8 |
| Ancient | 16 | 62% | 1.16 | 14.8 |
| Anubis | 14 | 36% | 0.98 | 14.9 |
| Dust2 | 5 | 20% | 0.86 | 16.0 |
| Overpass | 4 | 50% | 1.17 | 16.5 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.5912° — above the 12° mark we flag
- 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 0.4119 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
44% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 4–9 | -0.10 | 0% | 23 Aug → | |
| mirage | 0–13 | -0.03 | 11% | 18 Aug → | |
| nuke | 13–6 | 0.07 | 10% | 18 Aug → | |
| nuke | 13–10 | -0.00 | 17% | 17 Aug → | |
| cache | 13–10 | -0.04 | 21% | 15 Aug → | |
| nuke | 2–13 | -0.06 | 21% | 15 Aug → | |
| ancient | 8–13 | 0.01 | 17% | 14 Aug → | |
| dust2 | 13–6 | 0.03 | 18% | 14 Aug → | |
| mirage | 5–13 | -0.01 | 13% | 14 Aug → | |
| cache | 4–13 | -0.06 | 11% | 14 Aug → | |
| nuke | 8–13 | -0.06 | 17% | 13 Aug → | |
| train | 13–9 | -0.01 | 31% | 13 Aug → | |
| nuke | 13–8 | 0.08 | 17% | 12 Aug → | |
| ancient | 13–5 | 0.05 | 15% | 12 Aug → | |
| nuke | 13–10 | 0.09 | 38% | 12 Aug → | |
| nuke | 13–7 | 0.08 | 24% | 12 Aug → | |
| nuke | 8–13 | -0.02 | 7% | 11 Aug → | |
| nuke | 3–13 | -0.06 | 21% | 11 Aug → | |
| nuke | 0–5 | -0.09 | 0% | 9 Aug → | |
| nuke | 13–11 | 0.06 | 31% | 9 Aug → | |
| office | 11–13 | -0.06 | 17% | 9 Aug → | |
| nuke | 6–13 | -0.07 | 5% | 9 Aug → | |
| nuke | 6–3 | 0.03 | 9% | 9 Aug → | |
| office | 10–13 | 0.11 | 25% | 8 Aug → | |
| nuke | 5–13 | -0.05 | 9% | 8 Aug → | |
| dust2 | 3–10 | -0.05 | 0% | 5 Aug → | |
| nuke | 0–13 | -0.07 | 10% | 3 Aug → | |
| office | 3–13 | 0.02 | 8% | 3 Aug → | |
| nuke | 13–5 | 0.04 | 29% | 3 Aug → | |
| nuke | 12–12 | 0.07 | 17% | 1 Aug → | |
| office | 13–5 | 0.15 | 9% | 1 Aug → | |
| nuke | 12–12 | 0.04 | 24% | 1 Aug → | |
| nuke | 11–13 | -0.01 | 40% | 29 Jul → | |
| nuke | 4–13 | -0.01 | 0% | 28 Jul → | |
| nuke | 13–7 | 0.08 | 8% | 20 Jul → | |
| office | 7–13 | 0.03 | 13% | 19 Jul → | |
| nuke | 13–11 | 0.00 | 13% | 14 Jul → | |
| nuke | 13–9 | 0.11 | 16% | 9 Jul → | |
| office | 13–9 | 0.13 | 9% | 9 Jul → | |
| office | 6–5 | 0.03 | 15% | 2 Jul → | |
| nuke | 11–13 | -0.07 | 16% | 29 Jun → | |
| nuke | 12–12 | 0.03 | 21% | 24 Jun → | |
| nuke | 13–3 | 0.10 | 19% | 23 Jun → | |
| cache | 2–13 | -0.04 | 17% | 22 Jun → | |
| cache | 2–13 | -0.05 | 7% | 10 Jun → | |
| mirage | 12–16 | -0.05 | 12% | 10 Jun → | |
| mirage | 13–11 | 0.05 | 12% | 10 Jun → | |
| office | 10–13 | 0.11 | 18% | 10 Jun → | |
| mirage | 13–10 | 0.04 | 16% | 9 Jun → | |
| italy | 10–12 | 0.18 | 18% | 9 Jun → | |
| cache | 1–13 | -0.02 | 24% | 9 Jun → | |
| nuke | 4–13 | 0.05 | 23% | 8 Jun → | |
| mirage | 13–6 | 0.02 | 15% | 8 Jun → | |
| nuke | 7–13 | 0.02 | 47% | 7 Jun → | |
| ancient | 10–13 | -0.04 | 14% | 7 Jun → | |
| mirage | 13–9 | 0.05 | 4% | 7 Jun → | |
| nuke | 12–12 | 0.04 | 17% | 5 Jun → | |
| cache | 2–11 | -0.02 | 6% | 5 Jun → | |
| nuke | 7–13 | -0.02 | 16% | 4 Jun → | |
| mirage | 13–2 | 0.02 | 11% | 4 Jun → | |
| nuke | 13–9 | 0.01 | 25% | 4 Jun → | |
| italy | 6–12 | 0.19 | 19% | 1 Jun → | |
| office | 13–8 | 0.12 | 23% | 1 Jun → | |
| dust2 | 14–16 | -0.00 | 10% | 21 May → | |
| cache | 13–9 | -0.01 | 19% | 20 May → | |
| nuke | 12–7 | 0.02 | 4% | 20 May → | |
| nuke | 13–9 | 0.10 | 21% | 20 May → | |
| cache | 7–13 | 0.03 | 16% | 20 May → | |
| cache | 13–3 | 0.05 | 23% | 19 May → | |
| office | 12–12 | 0.05 | 18% | 18 May → | |
| cache | 13–4 | 0.09 | 15% | 18 May → | |
| office | 12–12 | 0.02 | 16% | 17 May → | |
| cache | 4–13 | -0.02 | 19% | 17 May → | |
| dust2 | 13–11 | -0.04 | 8% | 16 May → | |
| nuke | 13–8 | -0.01 | 7% | 16 May → | |
| office | 5–13 | 0.04 | 15% | 16 May → | |
| cache | 8–13 | -0.02 | 17% | 14 May → | |
| cache | 9–13 | 0.01 | 13% | 11 May → | |
| cache | 10–13 | 0.01 | 9% | 10 May → | |
| cache | 4–10 | 0.04 | 11% | 6 May → | |
| cache | 11–13 | -0.06 | 13% | 6 May → | |
| cache | 13–10 | -0.03 | 19% | 5 May → | |
| cache | 13–2 | 0.03 | 0% | 4 May → | |
| cache | 13–5 | 0.01 | 7% | 3 May → | |
| cache | 8–13 | 0.15 | 19% | 3 May → | |
| cache | 8–13 | 0.05 | 16% | 3 May → | |
| nuke | 8–13 | 0.08 | 10% | 3 May → | |
| cache | 13–2 | 0.01 | 9% | 2 May → | |
| cache | 1–13 | -0.01 | 0% | 1 May → | |
| cache | 13–11 | -0.01 | 12% | 30 Apr → | |
| cache | 13–11 | -0.04 | 13% | 30 Apr → | |
| cache | 5–3 | -0.08 | 4% | 29 Apr → | |
| cache | 13–11 | 0.02 | 12% | 28 Apr → | |
| nuke | 13–10 | 0.01 | 24% | 27 Apr → | |
| nuke | 5–13 | -0.04 | 27% | 26 Apr → | |
| nuke | 12–12 | 0.09 | 8% | 22 Apr → | |
| nuke | 13–11 | 0.07 | 4% | 22 Apr → | |
| nuke | 13–11 | 0.00 | 13% | 22 Apr → | |
| nuke | 4–8 | 0.01 | 27% | 21 Apr → | |
| office | 12–12 | 0.12 | 16% | 21 Apr → |
Match data via Leetify.