frang — CS2 Stats
76561198202580180[U:1:242314452]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 52.7% | 52.8% | meets |
| Shot accuracy | 20.5% | 13.7% | above |
| Kill/death ratio | 1.01 | 1.08 | 0.07 short |
| Match win rate | 48.8% | 49.2% | meets |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimer
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 94% playstyle similarity
Most alike: opening-duel success, utility contribution.
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
Aim. Aim score of 85 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Reaction time. 580ms 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 6.8/10 (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 |
|---|---|---|---|---|---|
| A | 31 | 19–12 | 61% | -0.00 | |
| A | 20 | 12–8 | 60% | -0.00 | |
| B | 20 | 10–10 | 50% | -0.00 | |
| S | 16 | 12–4 | 75% | 0.02 | |
| S | 9 | 7–2 | 78% | 0.03 | |
| — | 4 | 2–2 | 50% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 20). Start with the 6 essential Inferno 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 13 | 31% | 1.19 | 14.3 |
| Ancient | 10 | 40% | 0.88 | 12.7 |
| Nuke | 9 | 67% | 1.13 | 15.8 |
| Dust2 | 7 | 57% | 0.91 | 12.3 |
| Anubis | 6 | 50% | 1.12 | 15.5 |
| Cache | 4 | 100% | 1.60 | 15.3 |
| Vertigo | 4 | 25% | 0.97 | 15.0 |
| Mirage | 2 | 0% | 0.93 | 13.0 |
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.
- 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 35.8888% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.05 | 24% | 3 Aug → | ||
| 13–6 | -0.00 | 38% | 3 Aug → | ||
| 13–16 | -0.01 | 17% | 2 Aug → | ||
| 13–7 | 0.02 | 37% | 30 Jul → | ||
| 13–1 | 0.06 | 26% | 30 Jul → | ||
| 13–9 | -0.02 | 31% | 30 Jul → | ||
| 16–12 | 0.07 | 19% | 29 Jul → | ||
| 13–10 | 0.03 | 12% | 29 Jul → | ||
| 1–4 | -0.15 | 0% | 29 Jul → | ||
| 6–13 | 0.04 | 29% | 24 Jul → | ||
| 13–3 | 0.05 | 34% | 24 Jul → | ||
| 14–16 | 0.03 | 16% | 21 Jul → | ||
| 13–7 | -0.02 | 19% | 21 Jul → | ||
| 0–13 | -0.03 | 0% | 21 Jul → | ||
| 13–11 | -0.03 | 32% | 20 Jul → | ||
| 13–3 | 0.01 | 21% | 20 Jul → | ||
| 1–13 | -0.08 | 0% | 20 Jul → | ||
| 13–16 | -0.01 | 20% | 20 Jul → | ||
| 6–13 | 0.03 | 12% | 17 Jul → | ||
| 13–9 | 0.00 | 28% | 17 Jul → | ||
| 13–6 | -0.02 | 22% | 17 Jul → | ||
| 2–13 | -0.03 | 61% | 16 Jul → | ||
| 13–11 | -0.01 | 25% | 16 Jul → | ||
| 13–5 | -0.02 | 7% | 16 Jul → | ||
| 11–13 | -0.02 | 28% | 15 Jul → | ||
| 13–8 | 0.01 | 30% | 15 Jul → | ||
| 4–13 | -0.05 | 17% | 14 Jul → | ||
| 13–6 | 0.09 | 30% | 14 Jul → | ||
| 13–11 | 0.00 | 28% | 14 Jul → | ||
| 1–13 | -0.02 | 31% | 14 Jul → | ||
| 13–1 | 0.08 | 28% | 14 Jul → | ||
| 3–1 | -0.08 | 0% | 14 Jul → | ||
| 13–11 | -0.01 | 12% | 13 Jul → | ||
| 13–9 | -0.01 | 20% | 13 Jul → | ||
| 0–13 | -0.05 | 8% | 13 Jul → | ||
| 13–9 | 0.00 | 25% | 12 Jul → | ||
| 13–6 | 0.05 | 18% | 12 Jul → | ||
| 15–15 | -0.02 | 14% | 12 Jul → | ||
| 13–6 | 0.01 | 41% | 5 Jul → | ||
| 9–13 | -0.05 | 17% | 5 Jul → | ||
| 1–13 | -0.04 | 30% | 1 Jul → | ||
| 10–13 | -0.09 | 23% | 1 Jul → | ||
| 13–6 | 0.07 | 26% | 1 Jul → | ||
| 8–13 | -0.04 | 24% | 1 Jul → | ||
| 6–13 | -0.05 | 40% | 30 Jun → | ||
| 13–16 | 0.02 | 27% | 30 Jun → | ||
| 13–1 | 0.12 | 35% | 30 Jun → | ||
| 13–8 | -0.01 | 29% | 29 Jun → | ||
| 13–11 | -0.00 | 24% | 29 Jun → | ||
| 15–15 | 0.03 | 24% | 29 Jun → | ||
| 13–4 | 0.09 | 24% | 29 Jun → | ||
| 13–2 | 0.01 | 19% | 29 Jun → | ||
| 13–7 | -0.01 | 19% | 25 Jun → | ||
| 14–16 | -0.04 | 40% | 25 Jun → | ||
| 13–6 | 0.02 | 29% | 25 Jun → | ||
| 13–9 | 0.00 | 30% | 24 Jun → | ||
| 13–4 | 0.09 | 13% | 24 Jun → | ||
| 13–16 | -0.01 | 30% | 24 Jun → | ||
| 13–5 | -0.02 | 13% | 24 Jun → | ||
| 9–13 | -0.01 | 18% | 22 Jun → | ||
| 13–5 | -0.04 | 28% | 22 Jun → | ||
| 13–3 | 0.02 | 26% | 22 Jun → | ||
| 11–13 | -0.01 | 29% | 22 Jun → | ||
| 13–9 | 0.02 | 28% | 17 Jun → | ||
| 13–8 | 0.03 | 33% | 17 Jun → | ||
| 16–14 | -0.00 | 33% | 16 Jun → | ||
| 13–5 | 0.04 | 19% | 10 Jun → | ||
| 13–4 | 0.01 | 23% | 10 Jun → | ||
| 13–10 | 0.05 | 30% | 10 Jun → | ||
| 8–13 | -0.00 | 28% | 2 Jun → | ||
| 3–13 | -0.06 | 9% | 1 Jun → | ||
| 4–13 | -0.00 | 22% | 1 Jun → | ||
| 8–13 | -0.05 | 22% | 1 Jun → | ||
| 13–6 | -0.01 | 20% | 28 Jan → | ||
| 13–6 | 0.04 | 25% | 28 Jan → | ||
| 13–5 | 0.04 | 20% | 28 Jan → | ||
| 13–7 | -0.02 | 28% | 28 Jan → | ||
| 13–9 | 0.04 | 29% | 28 Jan → | ||
| 9–13 | -0.04 | 18% | 26 Jan → | ||
| 16–13 | -0.01 | 12% | 26 Jan → | ||
| 13–11 | 0.02 | 44% | 22 Jan → | ||
| 16–13 | 0.04 | 16% | 22 Jan → | ||
| 13–7 | 0.02 | 19% | 22 Jan → | ||
| 13–6 | 0.03 | 22% | 22 Jan → | ||
| 7–13 | -0.03 | 26% | 14 Jan → | ||
| 8–13 | -0.02 | 33% | 14 Jan → | ||
| 10–13 | -0.02 | 23% | 14 Jan → | ||
| 4–0 | 0.15 | 56% | 21 Dec → | ||
| 13–6 | -0.02 | 27% | 21 Dec → | ||
| 10–13 | -0.00 | 19% | 18 Dec → | ||
| 2–13 | 0.04 | 33% | 18 Dec → | ||
| 13–7 | -0.05 | 17% | 18 Dec → | ||
| 7–13 | 0.05 | 27% | 15 Dec → | ||
| 7–13 | -0.04 | 38% | 15 Dec → | ||
| 13–5 | 0.09 | 20% | 14 Dec → | ||
| 13–2 | 0.08 | 43% | 14 Dec → | ||
| 13–10 | 0.08 | 19% | 14 Dec → | ||
| 10–13 | -0.04 | 20% | 11 Dec → | ||
| 13–6 | 0.01 | 24% | 11 Dec → | ||
| 13–7 | 0.05 | 26% | 11 Dec → |
Match data via Leetify.