Pickle — CS2 Stats
76561198148423682[U:1:188157954]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.01 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Reliable in 1v1s
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 73% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; 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
Reaction time. 713ms 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 4.3/10 (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 |
|---|---|---|---|---|---|
| office | C | 41 | 16–25 | 39% | -0.03 |
 dust2 | B | 34 | 16–18 | 47% | -0.02 |
 cache | C | 10 | 4–6 | 40% | -0.03 |
 nuke | B | 6 | 3–3 | 50% | -0.03 |
 mirage | — | 4 | 1–3 | 25% | -0.08 |
 anubis | — | 2 | 1–1 | 50% | -0.05 |
| shelter | — | 1 | 1–0 | 100% | 0.03 |
 vertigo | — | 1 | 0–1 | 0% | -0.02 |
 ancient | — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
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 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 713.4601ms — above the 700ms 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 0.41 — 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 27.0658% — 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 | |
|---|---|---|---|---|---|
| dust2 | 13–9 | -0.01 | 18% | 16 Aug → | |
| office | 12–12 | -0.07 | 43% | 6 Aug → | |
| office | 13–7 | -0.01 | 28% | 27 Jul → | |
| dust2 | 8–13 | -0.04 | 21% | 25 Jul → | |
| office | 7–13 | 0.03 | 18% | 25 Jul → | |
| dust2 | 7–13 | -0.05 | 17% | 25 Jul → | |
| office | 13–8 | 0.05 | 24% | 25 Jul → | |
| office | 13–4 | 0.01 | 25% | 22 Jul → | |
| office | 12–12 | -0.04 | 19% | 15 Jul → | |
| office | 13–5 | -0.03 | 16% | 15 Jul → | |
| dust2 | 5–13 | -0.06 | 33% | 11 Jul → | |
| shelter | 13–6 | 0.03 | 23% | 11 Jul → | |
| office | 4–13 | -0.11 | 14% | 10 Jul → | |
| dust2 | 13–8 | -0.03 | 36% | 6 Jul → | |
| office | 13–7 | -0.05 | 26% | 6 Jul → | |
| office | 12–12 | -0.04 | 13% | 5 Jul → | |
| office | 10–5 | 0.01 | 36% | 1 Jul → | |
| dust2 | 13–2 | -0.03 | 22% | 1 Jul → | |
| cache | 12–12 | 0.04 | 17% | 1 Jul → | |
| cache | 13–5 | 0.01 | 21% | 1 Jul → | |
| office | 13–1 | 0.03 | 11% | 1 Jul → | |
| office | 7–13 | 0.08 | 27% | 29 Jun → | |
| office | 10–13 | -0.03 | 27% | 29 Jun → | |
| nuke | 10–13 | -0.04 | 9% | 29 Jun → | |
| anubis | 7–13 | -0.04 | 8% | 28 Jun → | |
| vertigo | 11–13 | -0.02 | 18% | 27 Jun → | |
| nuke | 13–3 | 0.00 | 18% | 27 Jun → | |
| mirage | 1–13 | -0.08 | 20% | 27 Jun → | |
| dust2 | 3–13 | -0.08 | 36% | 27 Jun → | |
| ancient | 8–13 | -0.08 | 23% | 26 Jun → | |
| anubis | 13–8 | -0.05 | 18% | 26 Jun → | |
| office | 9–13 | -0.03 | 16% | 15 Jun → | |
| office | 11–13 | -0.04 | 12% | 15 Jun → | |
| cache | 2–13 | -0.08 | 40% | 15 Jun → | |
| mirage | 2–13 | -0.11 | 16% | 15 Jun → | |
| office | 3–13 | -0.01 | 14% | 14 Jun → | |
| office | 13–9 | 0.03 | 9% | 14 Jun → | |
| dust2 | 4–13 | -0.09 | 18% | 14 Jun → | |
| dust2 | 6–13 | -0.04 | 12% | 14 Jun → | |
| office | 13–9 | -0.07 | 17% | 11 Jun → | |
| office | 8–13 | -0.06 | 15% | 11 Jun → | |
| dust2 | 8–13 | -0.03 | 22% | 11 Jun → | |
| dust2 | 13–9 | -0.02 | 25% | 6 Jun → | |
| dust2 | 13–2 | -0.07 | 13% | 6 Jun → | |
| cache | 6–13 | -0.00 | 22% | 5 Jun → | |
| office | 13–2 | -0.03 | 40% | 5 Jun → | |
| dust2 | 10–13 | -0.07 | 16% | 5 Jun → | |
| nuke | 4–13 | -0.07 | 7% | 5 Jun → | |
| dust2 | 13–9 | 0.01 | 16% | 5 Jun → | |
| dust2 | 13–8 | -0.04 | 24% | 4 Jun → | |
| office | 6–13 | -0.08 | 32% | 4 Jun → | |
| dust2 | 3–13 | -0.12 | 16% | 1 Jun → | |
| dust2 | 13–8 | 0.04 | 29% | 1 Jun → | |
| office | 4–13 | -0.00 | 11% | 1 Jun → | |
| cache | 12–12 | -0.08 | 14% | 1 Jun → | |
| dust2 | 13–11 | -0.03 | 21% | 1 Jun → | |
| office | 13–11 | -0.07 | 27% | 28 May → | |
| dust2 | 13–9 | -0.04 | 17% | 28 May → | |
| office | 13–6 | -0.03 | 15% | 28 May → | |
| cache | 9–13 | 0.03 | 27% | 27 May → | |
| cache | 13–7 | -0.08 | 35% | 26 May → | |
| office | 8–13 | -0.05 | 17% | 26 May → | |
| nuke | 10–13 | -0.08 | 30% | 26 May → | |
| cache | 13–7 | -0.04 | 45% | 25 May → | |
| cache | 13–8 | -0.09 | 38% | 25 May → | |
| dust2 | 7–13 | 0.01 | 22% | 20 May → | |
| dust2 | 10–13 | -0.03 | 33% | 20 May → | |
| cache | 8–13 | -0.04 | 14% | 15 May → | |
| dust2 | 13–10 | -0.05 | 16% | 15 May → | |
| mirage | 11–13 | -0.08 | 23% | 15 May → | |
| dust2 | 7–13 | 0.00 | 14% | 7 May → | |
| nuke | 13–9 | -0.01 | 35% | 7 May → | |
| office | 13–10 | -0.08 | 25% | 7 May → | |
| mirage | 13–6 | -0.04 | 42% | 27 Apr → | |
| office | 13–11 | -0.05 | 28% | 27 Apr → | |
| dust2 | 13–10 | -0.02 | 22% | 26 Apr → | |
| office | 11–13 | -0.11 | 30% | 26 Apr → | |
| dust2 | 13–9 | -0.00 | 26% | 22 Apr → | |
| dust2 | 8–13 | -0.08 | 25% | 22 Apr → | |
| dust2 | 13–3 | 0.09 | 26% | 22 Apr → | |
| office | 11–13 | 0.05 | 17% | 19 Apr → | |
| dust2 | 13–2 | 0.03 | 34% | 19 Apr → | |
| office | 12–12 | -0.06 | 17% | 19 Apr → | |
| dust2 | 8–13 | 0.01 | 24% | 19 Apr → | |
| dust2 | 8–13 | 0.08 | 25% | 18 Apr → | |
| dust2 | 13–5 | 0.03 | 27% | 18 Apr → | |
| office | 10–13 | -0.07 | 21% | 18 Apr → | |
| office | 10–13 | 0.10 | 34% | 18 Apr → | |
| dust2 | 9–13 | 0.01 | 19% | 18 Apr → | |
| office | 2–13 | -0.08 | 20% | 18 Apr → | |
| dust2 | 5–13 | -0.07 | 19% | 18 Apr → | |
| office | 8–13 | 0.06 | 21% | 18 Apr → | |
| dust2 | 12–12 | 0.04 | 26% | 16 Apr → | |
| nuke | 11–3 | 0.00 | 36% | 16 Apr → | |
| office | 4–13 | -0.04 | 23% | 16 Apr → | |
| office | 2–13 | -0.01 | 50% | 10 Apr → | |
| office | 13–2 | -0.01 | 32% | 10 Apr → | |
| office | 5–13 | -0.01 | 23% | 10 Apr → | |
| office | 7–13 | -0.09 | 20% | 9 Apr → | |
| office | 13–11 | -0.05 | 26% | 9 Apr → |
Match data via Leetify.