Flics5K — CS2 Stats
76561198079097760[U:1:118832032]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
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 74% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Reaction time. 625ms 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 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 26 | 14–12 | 54% | -0.02 |
 vertigo | A | 23 | 14–9 | 61% | -0.04 |
 inferno | A | 16 | 9–7 | 56% | -0.05 |
 cache | D | 13 | 4–9 | 31% | -0.05 |
 overpass | D | 6 | 2–4 | 33% | -0.05 |
 ancient | D | 5 | 1–4 | 20% | -0.01 |
 train | — | 4 | 1–3 | 25% | -0.04 |
 dust2 | — | 4 | 2–2 | 50% | 0.02 |
 anubis | — | 1 | 1–0 | 100% | -0.06 |
| poseidon | — | 1 | 0–1 | 0% | -0.09 |
 mirage | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 0% | 0.46 | 8.0 |
| Inferno | 3 | 67% | 1.01 | 14.3 |
| Nuke | 2 | 0% | 0.47 | 9.5 |
| Dust2 | 2 | 0% | 0.92 | 18.0 |
| Ancient | 1 | 0% | 0.88 | 14.0 |
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 13.4666% — 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 19.2595% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| overpass | 7–13 | -0.07 | 13% | 27 Aug → | |
| nuke | 13–10 | -0.07 | 7% | 27 Aug → | |
| vertigo | 13–10 | -0.03 | 23% | 27 Aug → | |
| inferno | 13–1 | -0.03 | 11% | 27 Aug → | |
| inferno | 16–19 | -0.05 | 20% | 21 Aug → | |
| nuke | 13–11 | -0.03 | 21% | 21 Aug → | |
| vertigo | 13–10 | -0.11 | 7% | 21 Aug → | |
| inferno | 16–14 | -0.04 | 8% | 21 Aug → | |
| cache | 4–13 | -0.08 | 13% | 21 Aug → | |
| vertigo | 11–13 | -0.11 | 18% | 21 Aug → | |
| vertigo | 13–2 | 0.03 | 21% | 11 Aug → | |
| vertigo | 22–18 | -0.04 | 21% | 10 Aug → | |
| inferno | 8–13 | -0.04 | 16% | 10 Aug → | |
| nuke | 13–16 | -0.05 | 14% | 10 Aug → | |
| vertigo | 14–16 | -0.01 | 9% | 8 Aug → | |
| nuke | 16–13 | -0.01 | 12% | 8 Aug → | |
| anubis | 13–10 | -0.06 | 10% | 8 Aug → | |
| inferno | 13–8 | -0.09 | 5% | 7 Aug → | |
| train | 19–15 | -0.07 | 7% | 7 Aug → | |
| nuke | 13–5 | 0.01 | 21% | 7 Aug → | |
| overpass | 14–16 | -0.06 | 11% | 7 Aug → | |
| cache | 6–13 | -0.09 | 5% | 7 Aug → | |
| train | 14–16 | -0.01 | 20% | 6 Aug → | |
| inferno | 13–8 | -0.04 | 8% | 6 Aug → | |
| nuke | 13–9 | -0.04 | 14% | 5 Aug → | |
| cache | 0–9 | -0.07 | 6% | 27 Jul → | |
| vertigo | 2–13 | -0.06 | 21% | 27 Jul → | |
| nuke | 17–19 | -0.02 | 20% | 21 Jul → | |
| cache | 8–13 | -0.03 | 10% | 21 Jul → | |
| cache | 8–13 | -0.06 | 6% | 18 Jul → | |
| inferno | 13–1 | -0.08 | 9% | 18 Jul → | |
| nuke | 8–13 | -0.03 | 6% | 18 Jul → | |
| vertigo | 13–10 | -0.01 | 25% | 18 Jul → | |
| overpass | 13–9 | -0.02 | 3% | 18 Jul → | |
| inferno | 6–13 | -0.08 | 17% | 18 Jul → | |
| nuke | 10–13 | -0.02 | 9% | 17 Jul → | |
| vertigo | 13–9 | -0.07 | 11% | 17 Jul → | |
| vertigo | 13–7 | -0.04 | 14% | 17 Jul → | |
| vertigo | 13–4 | -0.07 | 22% | 17 Jul → | |
| nuke | 13–9 | -0.04 | 0% | 17 Jul → | |
| train | 10–13 | -0.08 | 17% | 14 Jul → | |
| nuke | 16–14 | -0.02 | 24% | 11 Jul → | |
| inferno | 13–7 | -0.05 | 21% | 10 Jul → | |
| nuke | 13–8 | 0.05 | 8% | 10 Jul → | |
| ancient | 13–16 | -0.06 | 15% | 9 Jul → | |
| cache | 10–13 | -0.05 | 23% | 9 Jul → | |
| nuke | 10–13 | -0.07 | 16% | 7 Jul → | |
| cache | 1–13 | -0.06 | 13% | 7 Jul → | |
| inferno | 6–13 | 0.01 | 11% | 7 Jul → | |
| overpass | 3–13 | -0.06 | 13% | 7 Jul → | |
| inferno | 13–10 | -0.07 | 9% | 7 Jul → | |
| cache | 8–13 | -0.03 | 15% | 6 Jul → | |
| inferno | 4–13 | -0.06 | 18% | 6 Jul → | |
| vertigo | 6–13 | -0.03 | 12% | 6 Jul → | |
| vertigo | 13–9 | -0.01 | 24% | 6 Jul → | |
| vertigo | 13–11 | 0.03 | 23% | 6 Jul → | |
| nuke | 16–12 | 0.00 | 26% | 6 Jul → | |
| inferno | 13–4 | -0.01 | 14% | 6 Jul → | |
| nuke | 12–16 | -0.03 | 13% | 6 Jul → | |
| inferno | 2–13 | -0.10 | 47% | 6 Jul → | |
| overpass | 1–13 | -0.12 | 11% | 5 Jul → | |
| vertigo | 10–13 | -0.06 | 25% | 5 Jul → | |
| dust2 | 2–13 | -0.04 | 22% | 5 Jul → | |
| nuke | 10–13 | -0.04 | 4% | 3 Jul → | |
| cache | 2–13 | -0.11 | 25% | 3 Jul → | |
| nuke | 13–8 | -0.00 | 21% | 3 Jul → | |
| vertigo | 10–13 | -0.06 | 16% | 3 Jul → | |
| vertigo | 22–19 | -0.02 | 12% | 3 Jul → | |
| vertigo | 13–10 | -0.05 | 30% | 3 Jul → | |
| nuke | 13–9 | -0.03 | 24% | 29 Jun → | |
| cache | 13–8 | -0.08 | 23% | 29 Jun → | |
| train | 10–13 | 0.02 | 15% | 24 Jun → | |
| vertigo | 19–16 | -0.03 | 22% | 24 Jun → | |
| inferno | 13–9 | 0.01 | 24% | 24 Jun → | |
| vertigo | 13–3 | -0.03 | 11% | 24 Jun → | |
| cache | 13–9 | 0.00 | 7% | 23 Jun → | |
| nuke | 7–13 | -0.01 | 15% | 23 Jun → | |
| nuke | 13–11 | -0.02 | 13% | 23 Jun → | |
| poseidon | 3–9 | -0.09 | 13% | 23 Jun → | |
| vertigo | 3–9 | 0.07 | 15% | 23 Jun → | |
| nuke | 2–9 | -0.11 | 27% | 22 Jun → | |
| cache | 13–9 | -0.01 | 21% | 22 Jun → | |
| vertigo | 6–13 | -0.01 | 6% | 22 Jun → | |
| ancient | 6–13 | -0.04 | 16% | 22 Jun → | |
| nuke | 8–13 | -0.00 | 10% | 21 Jun → | |
| nuke | 14–16 | -0.02 | 13% | 21 Jun → | |
| inferno | 2–13 | -0.10 | 16% | 21 Jun → | |
| ancient | 13–4 | 0.05 | 14% | 21 Jun → | |
| mirage | 12–16 | -0.05 | 9% | 19 Jun → | |
| dust2 | 13–4 | 0.07 | 16% | 19 Jun → | |
| dust2 | 9–13 | 0.01 | 5% | 19 Jun → | |
| nuke | 13–9 | 0.10 | 17% | 19 Jun → | |
| ancient | 11–13 | -0.00 | 11% | 19 Jun → | |
| nuke | 5–13 | 0.05 | 8% | 18 Jun → | |
| dust2 | 13–10 | 0.03 | 5% | 18 Jun → | |
| vertigo | 9–13 | -0.08 | 6% | 18 Jun → | |
| nuke | 13–11 | -0.07 | 17% | 18 Jun → | |
| ancient | 10–13 | -0.02 | 14% | 18 Jun → | |
| cache | 13–9 | -0.02 | 9% | 18 Jun → | |
| overpass | 13–3 | -0.00 | 14% | 18 Jun → |
Match data via Leetify.