[fll.fi] iRopsu — CS2 Stats
76561198216174163[U:1:255908435]✓ No bans
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: 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 b1t 90% playstyle similarity
Most alike: opening-duel success, 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
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. 649ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| B | 19 | 9–10 | 47% | -0.00 | |
| C | 18 | 7–11 | 39% | 0.00 | |
| C | 15 | 6–9 | 40% | -0.01 | |
| B | 12 | 6–6 | 50% | -0.00 | |
| C | 12 | 5–7 | 42% | 0.00 | |
| A | 10 | 6–4 | 60% | 0.00 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| C | 5 | 2–3 | 40% | -0.04 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| agency | — | 1 | 0–1 | 0% | -0.05 |
| — | 1 | 1–0 | 100% | 0.03 | |
| jura | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Ancient 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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 166 | 47% | 1.04 | 15.2 |
| Ancient | 147 | 57% | 1.06 | 14.4 |
| Inferno | 140 | 52% | 1.09 | 15.1 |
| Mirage | 121 | 45% | 1.01 | 14.0 |
| Dust2 | 75 | 60% | 1.06 | 14.8 |
| Nuke | 71 | 51% | 1.06 | 12.9 |
| Vertigo | 30 | 50% | 0.90 | 12.5 |
| Overpass | 25 | 44% | 0.91 | 12.4 |
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 30.0321% — 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.
39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–10 | 0.04 | 14% | 26 Aug → | ||
| 13–10 | -0.00 | 31% | 11 Aug → | ||
| 2–13 | 0.03 | 14% | 6 Aug → | ||
| 13–5 | 0.03 | 18% | 15 May → | ||
| 11–13 | 0.01 | 18% | 7 Apr → | ||
| 10–13 | -0.00 | 19% | 19 Mar → | ||
| 11–13 | 0.03 | 23% | 16 Dec → | ||
| 10–13 | -0.02 | 23% | 14 Nov → | ||
| 11–13 | -0.01 | 22% | 14 Nov → | ||
| 6–13 | -0.04 | 12% | 12 Nov → | ||
| 3–13 | -0.08 | 38% | 12 Nov → | ||
| 13–3 | -0.02 | 11% | 12 Nov → | ||
| 10–13 | -0.01 | 20% | 12 Nov → | ||
| 13–5 | 0.19 | 25% | 11 Nov → | ||
| 11–13 | 0.06 | 14% | 10 Nov → | ||
| 13–10 | 0.14 | 21% | 6 Nov → | ||
| 11–13 | 0.01 | 27% | 5 Nov → | ||
| 13–6 | -0.02 | 13% | 5 Nov → | ||
| 13–3 | 0.10 | 7% | 30 Oct → | ||
| 13–8 | 0.06 | 23% | 29 Oct → | ||
| 16–14 | -0.02 | 17% | 28 Oct → | ||
| 13–16 | -0.05 | 8% | 27 Oct → | ||
| 13–3 | -0.02 | 19% | 26 Oct → | ||
| 1–13 | -0.02 | 16% | 16 Oct → | ||
| 5–13 | -0.02 | 14% | 16 Oct → | ||
| 11–13 | -0.00 | 12% | 14 Oct → | ||
| 13–16 | -0.03 | 12% | 8 Oct → | ||
| 13–4 | 0.03 | 17% | 8 Oct → | ||
| 13–8 | -0.00 | 14% | 8 Oct → | ||
| 13–10 | -0.03 | 14% | 7 Oct → | ||
| 6–13 | 0.01 | 23% | 29 Sept → | ||
| 3–13 | -0.02 | 14% | 29 Sept → | ||
| 13–9 | 0.01 | 9% | 23 Sept → | ||
| 10–13 | 0.00 | 18% | 23 Sept → | ||
| 8–13 | -0.03 | 14% | 22 Sept → | ||
| 10–13 | 0.02 | 16% | 22 Sept → | ||
| 11–13 | -0.06 | 18% | 20 Sept → | ||
| 13–2 | 0.05 | 13% | 20 Sept → | ||
| 13–9 | -0.02 | 7% | 12 Sept → | ||
| 13–5 | 0.01 | 21% | 12 Sept → | ||
| 13–5 | 0.01 | 14% | 12 Sept → | ||
| 6–13 | -0.03 | 12% | 11 Sept → | ||
| 4–13 | -0.04 | 10% | 11 Sept → | ||
| 13–10 | 0.03 | 18% | 11 Sept → | ||
| 8–13 | -0.04 | 11% | 8 Sept → | ||
| 7–13 | -0.06 | 14% | 8 Sept → | ||
| 16–12 | 0.02 | 13% | 6 Sept → | ||
| 3–13 | -0.04 | 21% | 3 Sept → | ||
| 13–5 | 0.04 | 20% | 3 Sept → | ||
| 4–13 | -0.05 | 21% | 2 Sept → | ||
| 13–11 | 0.00 | 9% | 2 Sept → | ||
| 10–13 | -0.08 | 11% | 1 Sept → | ||
| 13–8 | 0.01 | 14% | 1 Sept → | ||
| 13–9 | -0.05 | 13% | 1 Sept → | ||
| 11–13 | -0.02 | 23% | 1 Sept → | ||
| 13–9 | 0.01 | 21% | 28 Aug → | ||
| 13–11 | -0.00 | 8% | 26 Aug → | ||
| 9–13 | -0.03 | 12% | 26 Aug → | ||
| 11–13 | -0.02 | 17% | 26 Aug → | ||
| 10–13 | -0.04 | 16% | 7 Aug → | ||
| 13–4 | -0.08 | 16% | 6 Aug → | ||
| 13–6 | 0.03 | 21% | 3 Aug → | ||
| 6–13 | -0.04 | 11% | 21 Jul → | ||
| 13–5 | 0.05 | 10% | 19 Jul → | ||
| 16–13 | 0.00 | 15% | 9 Jul → | ||
| 6–13 | -0.06 | 38% | 8 Jul → | ||
| 14–16 | -0.07 | 23% | 4 Jun → | ||
| 13–10 | -0.03 | 14% | 3 Jun → | ||
| 10–13 | 0.04 | 19% | 29 May → | ||
| 13–10 | 0.01 | 13% | 29 May → | ||
| 11–13 | 0.02 | 11% | 29 May → | ||
| 13–16 | 0.00 | 18% | 28 May → | ||
| 13–10 | -0.01 | 4% | 28 May → | ||
| 7–13 | -0.01 | 8% | 27 May → | ||
| 13–6 | 0.08 | 25% | 27 May → | ||
| 9–13 | -0.08 | 15% | 26 May → | ||
| agency | 9–13 | -0.05 | 20% | 26 May → | |
| 13–6 | 0.03 | 23% | 26 May → | ||
| 13–9 | 0.03 | 21% | 25 May → | ||
| jura | 7–13 | -0.02 | 19% | 25 May → | |
| 13–1 | 0.06 | 12% | 25 May → | ||
| 6–13 | -0.02 | 14% | 25 May → | ||
| 15–19 | 0.02 | 14% | 25 May → | ||
| 13–11 | 0.02 | 22% | 25 May → | ||
| 12–16 | -0.01 | 12% | 24 May → | ||
| 23–25 | 0.06 | 21% | 24 May → | ||
| 8–13 | -0.01 | 22% | 23 May → | ||
| 16–14 | -0.02 | 9% | 23 May → | ||
| 13–4 | 0.07 | 25% | 22 May → | ||
| 10–13 | -0.02 | 16% | 22 May → | ||
| 8–13 | -0.06 | 17% | 22 May → | ||
| 13–10 | -0.06 | 11% | 19 May → | ||
| 13–10 | -0.06 | 20% | 19 May → | ||
| 13–5 | 0.05 | 14% | 13 May → | ||
| 13–10 | 0.03 | 19% | 12 May → | ||
| 2–13 | -0.08 | 27% | 12 May → | ||
| 6–13 | -0.06 | 7% | 5 May → | ||
| 13–4 | 0.00 | 4% | 5 May → | ||
| 11–13 | -0.03 | 11% | 5 May → | ||
| 13–10 | -0.03 | 19% | 5 May → |
Match data via Leetify.