fr0nzy — CS2 Stats
76561199057922734[U:1:1097657006]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 88% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; lower positioning 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
Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 46% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 574ms 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 6.3/10 (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 | B | 30 | 16–14 | 53% | 0.01 |
 inferno | A | 22 | 12–10 | 55% | 0.02 |
 anubis | S | 19 | 14–5 | 74% | 0.04 |
 overpass | B | 8 | 4–4 | 50% | 0.00 |
 ancient | S | 6 | 5–1 | 83% | 0.02 |
 dust2 | A | 5 | 3–2 | 60% | -0.02 |
 cache | — | 4 | 3–1 | 75% | -0.01 |
 nuke | — | 3 | 1–2 | 33% | 0.02 |
| eldorado | — | 1 | 0–1 | 0% | 0.06 |
| debris | — | 1 | 0–1 | 0% | -0.02 |
| poseidon | — | 1 | 0–1 | 0% | -0.17 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Overpass 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 |
|---|---|---|---|---|
| Mirage | 136 | 58% | 1.09 | 15.1 |
| Inferno | 113 | 58% | 1.24 | 16.4 |
| Anubis | 91 | 55% | 1.18 | 15.4 |
| Ancient | 48 | 52% | 1.09 | 14.4 |
| Dust2 | 40 | 40% | 1.01 | 13.9 |
| Overpass | 9 | 56% | 0.99 | 16.3 |
| Nuke | 9 | 44% | 0.95 | 13.9 |
| Train | 2 | 0% | 1.00 | 16.5 |
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 29.1529% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 8–13 | -0.07 | 24% | 21 Aug → | |
| mirage | 11–13 | -0.02 | 10% | 21 Aug → | |
| anubis | 13–7 | -0.04 | 10% | 21 Aug → | |
| anubis | 13–2 | 0.13 | 19% | 19 Aug → | |
| eldorado | 8–8 | 0.06 | 25% | 17 Aug → | |
| nuke | 9–3 | 0.11 | 21% | 17 Aug → | |
| ancient | 13–5 | 0.06 | 14% | 15 Aug → | |
| mirage | 11–13 | 0.00 | 8% | 8 Aug → | |
| nuke | 10–13 | 0.00 | 21% | 8 Aug → | |
| mirage | 8–13 | 0.02 | 32% | 2 Aug → | |
| mirage | 13–3 | 0.13 | 15% | 27 Jul → | |
| anubis | 13–11 | 0.18 | 16% | 27 Jul → | |
| mirage | 10–13 | -0.05 | 13% | 27 Jul → | |
| anubis | 13–10 | 0.08 | 19% | 26 Jul → | |
| inferno | 13–10 | -0.02 | 18% | 24 Jul → | |
| cache | 13–11 | -0.03 | 14% | 21 Jul → | |
| anubis | 1–3 | 0.07 | 50% | 21 Jul → | |
| inferno | 13–3 | 0.15 | 23% | 21 Jul → | |
| debris | 8–8 | -0.02 | 14% | 20 Jul → | |
| cache | 13–6 | -0.02 | 22% | 19 Jul → | |
| mirage | 2–7 | 0.03 | 23% | 17 Jul → | |
| anubis | 10–13 | 0.04 | 11% | 17 Jul → | |
| dust2 | 6–13 | -0.03 | 30% | 15 Jul → | |
| mirage | 8–13 | -0.03 | 24% | 14 Jul → | |
| mirage | 19–15 | -0.02 | 19% | 14 Jul → | |
| mirage | 13–11 | -0.00 | 17% | 6 Jul → | |
| dust2 | 13–3 | 0.02 | 25% | 5 Jul → | |
| mirage | 13–3 | 0.08 | 23% | 5 Jul → | |
| inferno | 3–9 | 0.10 | 14% | 3 Jul → | |
| mirage | 13–9 | 0.00 | 10% | 30 Jun → | |
| inferno | 13–7 | 0.04 | 32% | 26 Jun → | |
| mirage | 9–13 | -0.07 | 19% | 25 Jun → | |
| anubis | 9–13 | 0.09 | 13% | 20 Jun → | |
| mirage | 13–3 | 0.03 | 37% | 20 Jun → | |
| inferno | 11–13 | 0.01 | 17% | 22 May → | |
| cache | 13–11 | -0.00 | 18% | 16 May → | |
| cache | 4–13 | 0.00 | 22% | 29 Apr → | |
| mirage | 12–0 | 0.07 | 19% | 18 Apr → | |
| mirage | 19–16 | 0.02 | 14% | 17 Apr → | |
| anubis | 13–10 | 0.02 | 16% | 17 Apr → | |
| anubis | 13–6 | 0.01 | 17% | 17 Apr → | |
| mirage | 16–12 | 0.06 | 21% | 15 Apr → | |
| ancient | 13–8 | 0.04 | 12% | 12 Apr → | |
| mirage | 13–9 | 0.01 | 16% | 12 Apr → | |
| anubis | 13–7 | 0.01 | 17% | 12 Apr → | |
| mirage | 13–5 | 0.06 | 20% | 11 Apr → | |
| dust2 | 13–11 | 0.00 | 28% | 11 Apr → | |
| inferno | 1–13 | -0.04 | 42% | 11 Apr → | |
| mirage | 8–13 | 0.00 | 31% | 11 Apr → | |
| mirage | 12–16 | -0.01 | 35% | 9 Apr → | |
| anubis | 11–13 | -0.00 | 11% | 9 Apr → | |
| mirage | 13–8 | 0.02 | 4% | 29 Mar → | |
| inferno | 13–1 | 0.16 | 16% | 29 Mar → | |
| inferno | 11–13 | 0.07 | 19% | 29 Mar → | |
| overpass | 13–7 | 0.07 | 17% | 28 Mar → | |
| inferno | 13–11 | 0.02 | 19% | 27 Mar → | |
| mirage | 13–7 | 0.04 | 25% | 27 Mar → | |
| mirage | 13–7 | -0.01 | 14% | 21 Mar → | |
| overpass | 4–13 | -0.05 | 18% | 21 Mar → | |
| inferno | 13–8 | 0.00 | 15% | 14 Mar → | |
| mirage | 3–6 | -0.02 | 12% | 14 Mar → | |
| dust2 | 13–10 | -0.02 | 23% | 14 Mar → | |
| anubis | 13–11 | 0.05 | 9% | 14 Mar → | |
| inferno | 13–8 | 0.01 | 14% | 13 Mar → | |
| ancient | 13–9 | -0.02 | 33% | 1 Mar → | |
| mirage | 9–13 | -0.03 | 13% | 28 Feb → | |
| inferno | 11–13 | -0.01 | 28% | 28 Feb → | |
| inferno | 13–6 | 0.02 | 29% | 28 Feb → | |
| anubis | 13–8 | 0.03 | 41% | 28 Feb → | |
| inferno | 11–13 | -0.02 | 14% | 27 Feb → | |
| mirage | 13–7 | 0.08 | 16% | 24 Feb → | |
| anubis | 13–7 | -0.02 | 15% | 23 Feb → | |
| mirage | 8–13 | 0.00 | 17% | 18 Feb → | |
| inferno | 13–9 | 0.03 | 18% | 17 Feb → | |
| anubis | 16–12 | 0.04 | 12% | 17 Feb → | |
| mirage | 7–13 | -0.02 | 23% | 17 Feb → | |
| inferno | 13–7 | -0.00 | 29% | 16 Feb → | |
| overpass | 13–8 | -0.01 | 13% | 16 Feb → | |
| anubis | 13–10 | 0.06 | 18% | 15 Feb → | |
| anubis | 13–7 | -0.00 | 10% | 15 Feb → | |
| mirage | 10–13 | 0.03 | 10% | 15 Feb → | |
| nuke | 6–13 | -0.07 | 17% | 15 Feb → | |
| anubis | 13–8 | 0.03 | 11% | 14 Feb → | |
| overpass | 4–13 | -0.04 | 14% | 8 Feb → | |
| ancient | 5–13 | 0.01 | 7% | 7 Feb → | |
| anubis | 9–13 | -0.05 | 14% | 7 Feb → | |
| overpass | 10–13 | -0.01 | 10% | 7 Feb → | |
| inferno | 11–13 | 0.09 | 18% | 7 Feb → | |
| mirage | 13–11 | 0.02 | 11% | 3 Feb → | |
| inferno | 16–12 | 0.03 | 30% | 3 Feb → | |
| overpass | 9–13 | 0.02 | 14% | 3 Feb → | |
| ancient | 13–7 | -0.02 | 11% | 3 Feb → | |
| poseidon | 4–9 | -0.17 | 6% | 3 Feb → | |
| inferno | 7–13 | -0.06 | 11% | 2 Feb → | |
| overpass | 22–20 | -0.00 | 12% | 1 Feb → | |
| inferno | 5–13 | -0.06 | 17% | 30 Jan → | |
| inferno | 13–2 | -0.04 | 20% | 30 Jan → | |
| overpass | 13–10 | 0.03 | 31% | 30 Jan → | |
| inferno | 5–13 | -0.07 | 29% | 30 Jan → | |
| ancient | 16–12 | 0.03 | 22% | 30 Jan → |
Match data via Leetify.