ChadFiggle — CS2 Stats
76561198143587191[U:1:183321463]
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 Twistzz 89% playstyle similarity
Most alike: opening-fight frequency, 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
Areas to improve
Reaction time. 609ms 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 5.5/10 (Solid), 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 |
|---|---|---|---|---|---|
 mirage | C | 31 | 12–19 | 39% | -0.00 |
 cache | B | 24 | 12–12 | 50% | -0.00 |
 dust2 | C | 11 | 4–7 | 36% | -0.02 |
 ancient | B | 8 | 4–4 | 50% | -0.02 |
 anubis | A | 7 | 4–3 | 57% | -0.01 |
 inferno | D | 7 | 1–6 | 14% | -0.01 |
 nuke | B | 6 | 3–3 | 50% | -0.05 |
| debris | — | 1 | 0–1 | 0% | -0.14 |
| alpine | — | 1 | 1–0 | 100% | 0.01 |
| italy | — | 1 | 0–1 | 0% | 0.01 |
 train | — | 1 | 1–0 | 100% | 0.01 |
 vertigo | — | 1 | 0–1 | 0% | -0.05 |
 overpass | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 53 | 51% | 0.97 | 14.3 |
| Dust2 | 19 | 37% | 1.14 | 14.9 |
| Cache | 14 | 57% | 1.20 | 17.5 |
| Anubis | 14 | 79% | 1.12 | 16.3 |
| Inferno | 13 | 31% | 1.01 | 15.5 |
| Overpass | 13 | 62% | 1.03 | 15.0 |
| Ancient | 13 | 77% | 1.10 | 14.6 |
| Nuke | 11 | 64% | 1.13 | 13.6 |
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 14.757% — 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 32.7086% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 10–13 | 0.01 | 7% | 17 Aug → | |
| mirage | 13–1 | 0.15 | 10% | 17 Aug → | |
| dust2 | 2–13 | -0.09 | 14% | 12 Aug → | |
| dust2 | 5–13 | 0.03 | 25% | 12 Aug → | |
| mirage | 2–9 | 0.00 | 17% | 12 Aug → | |
| anubis | 15–15 | -0.02 | 8% | 5 Aug → | |
| dust2 | 11–13 | -0.05 | 28% | 5 Aug → | |
| dust2 | 13–5 | -0.04 | 23% | 4 Aug → | |
| cache | 13–9 | 0.02 | 13% | 4 Aug → | |
| anubis | 13–7 | -0.00 | 14% | 3 Aug → | |
| ancient | 13–7 | 0.06 | 6% | 3 Aug → | |
| anubis | 13–10 | -0.00 | 12% | 3 Aug → | |
| cache | 8–13 | 0.01 | 14% | 1 Aug → | |
| cache | 13–11 | 0.06 | 14% | 1 Aug → | |
| mirage | 4–13 | -0.02 | 11% | 30 Jul → | |
| anubis | 11–13 | -0.03 | 12% | 30 Jul → | |
| ancient | 5–13 | -0.00 | 23% | 30 Jul → | |
| cache | 1–13 | -0.10 | 14% | 27 Jul → | |
| dust2 | 7–13 | -0.08 | 10% | 25 Jul → | |
| ancient | 12–16 | -0.08 | 7% | 25 Jul → | |
| mirage | 11–13 | -0.03 | 6% | 24 Jul → | |
| mirage | 13–5 | 0.03 | 17% | 23 Jul → | |
| mirage | 7–13 | -0.02 | 10% | 22 Jul → | |
| mirage | 5–13 | -0.03 | 25% | 21 Jul → | |
| ancient | 13–7 | 0.00 | 24% | 21 Jul → | |
| mirage | 13–11 | -0.02 | 6% | 21 Jul → | |
| cache | 13–10 | -0.00 | 14% | 21 Jul → | |
| mirage | 5–13 | 0.04 | 22% | 21 Jul → | |
| dust2 | 13–9 | 0.04 | 40% | 21 Jul → | |
| anubis | 13–10 | 0.03 | 8% | 21 Jul → | |
| mirage | 13–8 | 0.02 | 26% | 21 Jul → | |
| inferno | 11–13 | -0.03 | 16% | 20 Jul → | |
| inferno | 1–12 | -0.04 | 7% | 20 Jul → | |
| ancient | 13–10 | -0.01 | 8% | 20 Jul → | |
| dust2 | 11–13 | -0.02 | 14% | 19 Jul → | |
| cache | 13–5 | 0.02 | 21% | 19 Jul → | |
| inferno | 8–13 | -0.07 | 2% | 19 Jul → | |
| mirage | 6–13 | -0.04 | 15% | 18 Jul → | |
| cache | 11–13 | -0.00 | 15% | 18 Jul → | |
| mirage | 13–9 | -0.03 | 10% | 18 Jul → | |
| inferno | 13–8 | 0.04 | 24% | 18 Jul → | |
| mirage | 11–13 | 0.02 | 13% | 17 Jul → | |
| anubis | 8–13 | -0.06 | 9% | 17 Jul → | |
| nuke | 13–6 | -0.09 | 7% | 17 Jul → | |
| cache | 13–10 | 0.08 | 13% | 17 Jul → | |
| inferno | 7–13 | -0.00 | 33% | 17 Jul → | |
| mirage | 5–13 | -0.07 | 14% | 17 Jul → | |
| mirage | 9–13 | 0.02 | 13% | 17 Jul → | |
| nuke | 13–10 | 0.03 | 17% | 16 Jul → | |
| dust2 | 13–5 | 0.06 | 17% | 16 Jul → | |
| anubis | 13–7 | 0.03 | 23% | 16 Jul → | |
| mirage | 13–16 | -0.01 | 9% | 15 Jul → | |
| dust2 | 13–3 | -0.04 | 7% | 15 Jul → | |
| mirage | 13–6 | 0.04 | 16% | 15 Jul → | |
| mirage | 10–13 | -0.03 | 11% | 15 Jul → | |
| nuke | 13–9 | 0.04 | 13% | 15 Jul → | |
| mirage | 13–8 | 0.07 | 10% | 15 Jul → | |
| mirage | 13–3 | -0.01 | 9% | 14 Jul → | |
| cache | 15–15 | -0.07 | 12% | 14 Jul → | |
| mirage | 13–9 | -0.04 | 14% | 14 Jul → | |
| debris | 3–9 | -0.14 | 21% | 13 Jul → | |
| nuke | 1–9 | -0.19 | 50% | 13 Jul → | |
| inferno | 5–13 | 0.06 | 20% | 13 Jul → | |
| cache | 5–13 | 0.10 | 19% | 13 Jul → | |
| mirage | 1–13 | -0.06 | 14% | 13 Jul → | |
| cache | 6–13 | -0.06 | 13% | 12 Jul → | |
| mirage | 8–13 | 0.01 | 18% | 11 Jul → | |
| cache | 5–13 | -0.04 | 11% | 11 Jul → | |
| cache | 3–13 | -0.08 | 12% | 9 Jul → | |
| cache | 9–13 | -0.05 | 10% | 9 Jul → | |
| mirage | 13–7 | -0.06 | 16% | 9 Jul → | |
| cache | 9–13 | -0.00 | 12% | 8 Jul → | |
| dust2 | 10–13 | -0.02 | 20% | 8 Jul → | |
| cache | 13–9 | 0.02 | 18% | 8 Jul → | |
| inferno | 9–13 | -0.00 | 20% | 8 Jul → | |
| ancient | 13–9 | -0.03 | 17% | 8 Jul → | |
| cache | 5–13 | -0.07 | 13% | 4 Jul → | |
| nuke | 8–13 | -0.05 | 13% | 4 Jul → | |
| mirage | 12–12 | -0.09 | 13% | 4 Jul → | |
| alpine | 13–10 | 0.01 | 18% | 2 Jul → | |
| cache | 13–3 | 0.00 | 12% | 2 Jul → | |
| cache | 13–6 | -0.03 | 44% | 2 Jul → | |
| cache | 13–7 | -0.04 | 24% | 1 Jul → | |
| cache | 13–9 | 0.01 | 21% | 1 Jul → | |
| cache | 10–13 | -0.01 | 20% | 1 Jul → | |
| ancient | 9–13 | -0.05 | 26% | 1 Jul → | |
| mirage | 4–13 | -0.03 | 3% | 30 Jun → | |
| mirage | 13–1 | 0.08 | 12% | 25 Jun → | |
| cache | 13–9 | 0.14 | 16% | 25 Jun → | |
| mirage | 11–13 | -0.08 | 12% | 22 Jun → | |
| italy | 5–13 | 0.01 | 10% | 21 Jun → | |
| cache | 13–11 | 0.01 | 14% | 21 Jun → | |
| train | 13–3 | 0.01 | 12% | 21 Jun → | |
| vertigo | 3–13 | -0.05 | 11% | 21 Jun → | |
| mirage | 13–0 | 0.04 | 21% | 3 Jun → | |
| nuke | 2–13 | -0.02 | 32% | 3 Jun → | |
| overpass | 11–13 | -0.02 | 16% | 3 Jun → | |
| dust2 | 10–13 | -0.00 | 16% | 2 Jun → | |
| ancient | 13–16 | -0.01 | 15% | 1 Jun → | |
| mirage | 10–13 | 0.03 | 14% | 1 Jun → |
Match data via Leetify.