flipper — CS2 Stats
US76561198004576786[U:1:44311058]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashes
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 92% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Strengths
Flashes. 0.75 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 556ms 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 5.6/10 (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 |
|---|---|---|---|---|---|
 dust2 | C | 25 | 10–15 | 40% | 0.02 |
 nuke | C | 17 | 6–11 | 35% | 0.01 |
 mirage | B | 14 | 7–7 | 50% | 0.02 |
 ancient | B | 13 | 6–7 | 46% | 0.01 |
 anubis | D | 12 | 4–8 | 33% | -0.00 |
 inferno | S | 9 | 6–3 | 67% | 0.03 |
 cache | S | 9 | 7–2 | 78% | 0.01 |
 train | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 12). 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 52 | 48% | 1.32 | 18.5 |
| Inferno | 34 | 44% | 1.25 | 17.4 |
| Nuke | 29 | 59% | 1.24 | 18.4 |
| Mirage | 27 | 41% | 0.97 | 15.9 |
| Anubis | 25 | 40% | 1.11 | 19.0 |
| Ancient | 23 | 52% | 1.20 | 18.1 |
| Vertigo | 13 | 54% | 1.09 | 18.9 |
| Overpass | 6 | 50% | 1.19 | 16.3 |
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 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 30.197% — 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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 9–13 | -0.04 | 17% | 28 Aug → | |
| cache | 13–7 | -0.02 | 19% | 21 Aug → | |
| ancient | 13–7 | -0.02 | 11% | 21 Aug → | |
| nuke | 13–5 | -0.02 | 15% | 20 Aug → | |
| mirage | 13–7 | -0.01 | 20% | 20 Aug → | |
| dust2 | 13–10 | 0.01 | 11% | 18 Aug → | |
| dust2 | 6–13 | -0.06 | 13% | 18 Aug → | |
| dust2 | 6–13 | -0.02 | 24% | 18 Aug → | |
| ancient | 11–13 | 0.04 | 16% | 18 Aug → | |
| dust2 | 4–13 | 0.09 | 29% | 17 Aug → | |
| cache | 13–11 | 0.05 | 25% | 17 Aug → | |
| ancient | 10–13 | 0.09 | 14% | 16 Aug → | |
| dust2 | 5–13 | 0.03 | 35% | 16 Aug → | |
| ancient | 6–13 | -0.09 | 17% | 16 Aug → | |
| dust2 | 13–6 | 0.11 | 25% | 16 Aug → | |
| anubis | 7–13 | -0.04 | 14% | 16 Aug → | |
| mirage | 7–13 | 0.00 | 25% | 15 Aug → | |
| dust2 | 11–13 | 0.04 | 23% | 15 Aug → | |
| dust2 | 10–13 | 0.03 | 15% | 15 Aug → | |
| nuke | 4–13 | -0.02 | 14% | 15 Aug → | |
| nuke | 8–13 | 0.00 | 9% | 11 Aug → | |
| dust2 | 13–10 | 0.06 | 14% | 9 Aug → | |
| nuke | 9–13 | -0.02 | 20% | 6 Aug → | |
| mirage | 13–1 | -0.00 | 7% | 6 Aug → | |
| anubis | 5–13 | -0.02 | 14% | 6 Aug → | |
| dust2 | 3–13 | -0.12 | 10% | 5 Aug → | |
| dust2 | 7–13 | 0.04 | 16% | 5 Aug → | |
| ancient | 8–13 | 0.00 | 11% | 5 Aug → | |
| ancient | 13–6 | 0.04 | 19% | 5 Aug → | |
| anubis | 6–13 | -0.10 | 14% | 5 Aug → | |
| train | 4–13 | -0.01 | 32% | 5 Aug → | |
| cache | 13–11 | 0.07 | 9% | 5 Aug → | |
| ancient | 13–11 | 0.01 | 23% | 5 Aug → | |
| nuke | 13–7 | 0.08 | 27% | 4 Aug → | |
| nuke | 9–13 | -0.03 | 19% | 4 Aug → | |
| cache | 13–10 | -0.02 | 20% | 3 Aug → | |
| inferno | 16–14 | 0.01 | 17% | 2 Aug → | |
| mirage | 9–13 | 0.09 | 28% | 1 Aug → | |
| cache | 6–13 | -0.06 | 21% | 1 Aug → | |
| ancient | 0–13 | -0.07 | 14% | 28 Jul → | |
| dust2 | 3–13 | -0.01 | 21% | 24 Jul → | |
| nuke | 10–13 | -0.01 | 18% | 21 Jul → | |
| ancient | 9–13 | -0.02 | 16% | 21 Jul → | |
| dust2 | 13–1 | 0.01 | 33% | 16 Jul → | |
| inferno | 11–13 | 0.05 | 21% | 15 Jul → | |
| mirage | 11–13 | -0.00 | 14% | 15 Jul → | |
| dust2 | 7–13 | 0.06 | 11% | 12 Jul → | |
| anubis | 13–8 | 0.06 | 13% | 12 Jul → | |
| cache | 13–11 | 0.06 | 11% | 12 Jul → | |
| anubis | 13–4 | 0.03 | 16% | 12 Jul → | |
| inferno | 16–13 | -0.05 | 8% | 11 Jul → | |
| cache | 13–9 | 0.01 | 13% | 10 Jul → | |
| dust2 | 11–13 | -0.04 | 19% | 10 Jul → | |
| anubis | 13–9 | -0.01 | 22% | 10 Jul → | |
| mirage | 13–16 | -0.01 | 13% | 10 Jul → | |
| nuke | 8–13 | 0.01 | 22% | 10 Jul → | |
| cache | 13–7 | 0.02 | 9% | 9 Jul → | |
| mirage | 14–16 | -0.04 | 12% | 9 Jul → | |
| dust2 | 13–9 | 0.07 | 15% | 9 Jul → | |
| mirage | 13–7 | 0.12 | 23% | 9 Jul → | |
| dust2 | 13–9 | -0.02 | 14% | 9 Jul → | |
| anubis | 11–13 | -0.05 | 7% | 9 Jul → | |
| cache | 7–13 | 0.00 | 13% | 9 Jul → | |
| nuke | 8–0 | 0.07 | 6% | 9 Jul → | |
| dust2 | 13–4 | 0.07 | 17% | 9 Jul → | |
| inferno | 13–11 | 0.06 | 18% | 7 Jul → | |
| ancient | 13–7 | 0.06 | 13% | 6 Jul → | |
| dust2 | 14–16 | 0.01 | 17% | 22 Jun → | |
| nuke | 13–5 | -0.02 | 16% | 20 Jun → | |
| inferno | 7–13 | -0.01 | 8% | 20 Jun → | |
| mirage | 9–13 | 0.01 | 17% | 19 Jun → | |
| mirage | 13–11 | -0.00 | 10% | 19 Jun → | |
| inferno | 13–3 | 0.03 | 26% | 19 Jun → | |
| mirage | 13–5 | 0.03 | 16% | 19 Jun → | |
| nuke | 13–5 | 0.07 | 14% | 19 Jun → | |
| dust2 | 13–11 | 0.04 | 14% | 18 Jun → | |
| anubis | 13–10 | 0.03 | 12% | 18 Jun → | |
| nuke | 9–13 | 0.05 | 20% | 18 Jun → | |
| dust2 | 7–13 | -0.04 | 9% | 16 Jun → | |
| dust2 | 13–11 | 0.10 | 16% | 16 Jun → | |
| anubis | 5–13 | -0.04 | 12% | 14 Jun → | |
| anubis | 9–13 | 0.02 | 17% | 12 Jun → | |
| dust2 | 2–13 | -0.06 | 11% | 9 Jun → | |
| inferno | 13–9 | 0.06 | 16% | 8 Jun → | |
| ancient | 13–6 | 0.01 | 19% | 8 Jun → | |
| dust2 | 13–9 | -0.04 | 20% | 5 Jun → | |
| nuke | 1–13 | -0.04 | 21% | 4 Jun → | |
| anubis | 4–13 | 0.08 | 16% | 2 Jun → | |
| dust2 | 10–13 | 0.03 | 23% | 2 Jun → | |
| nuke | 11–13 | 0.01 | 9% | 29 May → | |
| nuke | 11–13 | 0.02 | 9% | 26 May → | |
| ancient | 10–13 | -0.03 | 16% | 23 May → | |
| mirage | 3–13 | -0.07 | 21% | 21 May → | |
| inferno | 13–7 | 0.14 | 21% | 20 May → | |
| mirage | 13–0 | 0.10 | 12% | 20 May → | |
| mirage | 13–8 | 0.01 | 17% | 20 May → | |
| nuke | 13–4 | 0.05 | 18% | 20 May → | |
| anubis | 9–13 | 0.01 | 19% | 20 May → | |
| nuke | 11–13 | -0.02 | 19% | 19 May → | |
| ancient | 13–6 | 0.08 | 28% | 18 May → |
Match data via Leetify.
