Flotka — CS2 Stats
CZ76561198115338852[U:1:155073124]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 device 93% playstyle similarity
Most alike: positioning profile, 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 →
CSDB Rating breakdown
Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| C | 20 | 8–12 | 40% | 0.02 | |
| C | 17 | 7–10 | 41% | 0.03 | |
| D | 14 | 4–10 | 29% | -0.01 | |
| B | 11 | 5–6 | 45% | 0.03 | |
| D | 9 | 3–6 | 33% | 0.03 | |
| D | 9 | 2–7 | 22% | 0.00 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| office | — | 2 | 2–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 2 | 50% | 1.06 | 19.0 |
| Dust2 | 2 | 50% | 1.26 | 19.0 |
| Ancient | 2 | 0% | 0.78 | 12.0 |
| Mirage | 2 | 0% | 1.23 | 18.0 |
| Overpass | 1 | 0% | 0.38 | 5.0 |
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 14.5172% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.9527 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | -0.01 | 3% | 22 Aug → | ||
| 5–13 | 0.04 | 16% | 22 Aug → | ||
| 14–16 | 0.05 | 15% | 20 Aug → | ||
| 12–16 | 0.01 | 19% | 20 Aug → | ||
| 13–7 | 0.05 | 17% | 19 Aug → | ||
| 2–13 | -0.08 | 14% | 15 Aug → | ||
| 13–9 | 0.08 | 9% | 15 Aug → | ||
| 10–13 | 0.01 | 12% | 13 Aug → | ||
| 13–4 | 0.04 | 7% | 12 Aug → | ||
| 7–13 | 0.07 | 17% | 12 Aug → | ||
| 13–10 | 0.04 | 6% | 6 Aug → | ||
| 13–8 | 0.08 | 25% | 6 Aug → | ||
| 9–13 | 0.03 | 28% | 2 Aug → | ||
| 13–11 | 0.01 | 9% | 2 Aug → | ||
| 13–5 | 0.03 | 18% | 2 Aug → | ||
| 13–11 | 0.01 | 20% | 2 Aug → | ||
| 13–4 | 0.04 | 17% | 31 Jul → | ||
| 13–1 | 0.11 | 8% | 31 Jul → | ||
| 7–13 | -0.00 | 13% | 31 Jul → | ||
| 13–5 | 0.16 | 19% | 31 Jul → | ||
| 4–13 | 0.03 | 8% | 31 Jul → | ||
| 7–13 | -0.05 | 18% | 31 Jul → | ||
| 10–13 | 0.05 | 9% | 30 Jul → | ||
| office | 13–1 | 0.07 | 8% | 30 Jul → | |
| 12–16 | 0.00 | 10% | 27 Jul → | ||
| 4–13 | 0.03 | 9% | 25 Jul → | ||
| 9–13 | 0.02 | 7% | 25 Jul → | ||
| 5–13 | -0.01 | 40% | 21 Jul → | ||
| 13–8 | -0.04 | 12% | 21 Jul → | ||
| 13–11 | -0.01 | 18% | 21 Jul → | ||
| 9–13 | -0.11 | 13% | 21 Jul → | ||
| 13–5 | -0.06 | 19% | 21 Jul → | ||
| 6–13 | -0.03 | 5% | 19 Jul → | ||
| 8–13 | -0.03 | 17% | 19 Jul → | ||
| 11–13 | 0.03 | 24% | 19 Jul → | ||
| 5–11 | 0.08 | 18% | 19 Jul → | ||
| 10–13 | -0.01 | 16% | 18 Jul → | ||
| 2–13 | -0.05 | 24% | 18 Jul → | ||
| 6–13 | 0.03 | 16% | 18 Jul → | ||
| 13–11 | 0.02 | 30% | 18 Jul → | ||
| 7–13 | 0.02 | 29% | 18 Jul → | ||
| 11–13 | 0.01 | 16% | 18 Jul → | ||
| 9–1 | 0.37 | 22% | 18 Jul → | ||
| 6–13 | 0.01 | 20% | 10 Jul → | ||
| 13–5 | 0.08 | 14% | 10 Jul → | ||
| 13–5 | 0.03 | 11% | 10 Jul → | ||
| 9–13 | -0.03 | 21% | 10 Jul → | ||
| 13–6 | 0.05 | 11% | 9 Jul → | ||
| 3–13 | 0.10 | 30% | 9 Jul → | ||
| 13–7 | 0.08 | 22% | 9 Jul → | ||
| 13–8 | 0.00 | 12% | 9 Jul → | ||
| 13–4 | 0.09 | 19% | 8 Jul → | ||
| office | 13–11 | 0.07 | 17% | 8 Jul → | |
| 12–12 | 0.03 | 24% | 8 Jul → | ||
| 1–13 | -0.07 | 14% | 5 Jul → | ||
| 12–12 | 0.04 | 14% | 5 Jul → | ||
| 11–13 | 0.10 | 11% | 5 Jul → | ||
| 13–11 | 0.03 | 13% | 5 Jul → | ||
| 5–1 | 0.06 | 4% | 5 Jul → | ||
| 2–13 | -0.05 | 43% | 4 Jul → | ||
| 2–13 | -0.02 | 31% | 4 Jul → | ||
| 6–13 | -0.01 | 11% | 4 Jul → | ||
| 6–13 | -0.05 | 29% | 3 Jul → | ||
| 13–8 | 0.06 | 15% | 3 Jul → | ||
| 11–13 | 0.07 | 24% | 3 Jul → | ||
| 13–8 | 0.05 | 15% | 3 Jul → | ||
| 4–13 | -0.08 | 17% | 2 Jul → | ||
| 4–13 | -0.01 | 13% | 2 Jul → | ||
| 4–13 | -0.04 | 19% | 1 Jul → | ||
| 3–13 | -0.07 | 29% | 1 Jul → | ||
| 13–3 | 0.07 | 21% | 30 Jun → | ||
| 7–13 | -0.01 | 6% | 27 Jun → | ||
| 13–3 | 0.05 | 14% | 27 Jun → | ||
| 8–13 | -0.04 | 21% | 27 Jun → | ||
| 13–8 | 0.02 | 12% | 27 Jun → | ||
| 2–13 | -0.03 | 15% | 27 Jun → | ||
| 6–13 | 0.01 | 32% | 25 Jun → | ||
| 3–13 | -0.03 | 12% | 24 Jun → | ||
| 13–8 | -0.01 | 5% | 24 Jun → | ||
| 7–13 | -0.07 | 19% | 24 Jun → | ||
| 6–13 | 0.05 | 17% | 24 Jun → | ||
| 13–8 | -0.03 | 18% | 23 Jun → | ||
| 8–13 | -0.07 | 17% | 21 Jun → | ||
| 4–13 | -0.01 | 22% | 21 Jun → | ||
| 7–4 | -0.02 | 13% | 21 Jun → | ||
| 10–13 | 0.04 | 27% | 21 Jun → | ||
| 6–13 | -0.03 | 16% | 20 Jun → | ||
| 5–13 | -0.05 | 5% | 20 Jun → | ||
| 13–11 | -0.02 | 13% | 18 Jun → | ||
| 11–13 | 0.01 | 19% | 4 Jun → | ||
| 10–13 | 0.04 | 19% | 4 Jun → | ||
| 2–13 | -0.08 | 17% | 4 Jun → | ||
| 7–13 | -0.07 | 18% | 3 Jun → | ||
| 13–7 | -0.04 | 8% | 3 Jun → | ||
| 12–12 | 0.01 | 31% | 1 Jun → | ||
| 13–8 | 0.00 | 17% | 27 May → | ||
| 11–13 | -0.00 | 12% | 27 May → | ||
| 8–13 | -0.00 | 15% | 16 May → | ||
| 9–13 | -0.06 | 17% | 16 May → | ||
| 10–13 | -0.06 | 10% | 14 May → |
Match data via Leetify.