Franc3s — CS2 Stats
76561198280891495[U:1:320625767]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 41.7% | 48.1% | 6.4% short |
| Shot accuracy | 5.4% | 12.9% | 7.4% short |
| Kill/death ratio | 0.89 | 1.08 | 0.19 short |
| Match win rate | 35.7% | 46.5% | 10.7% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band 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: +10pp win rate · +0.01 avg rating
Player DNA
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 81% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 650ms 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 4.7/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 18 | 8–10 | 44% | 0.01 | |
| A | 17 | 10–7 | 59% | 0.01 | |
| B | 16 | 8–8 | 50% | -0.01 | |
| D | 13 | 3–10 | 23% | 0.02 | |
| S | 12 | 8–4 | 67% | -0.00 | |
| S | 12 | 8–4 | 67% | 0.00 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (23% over 13). 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 60% | 1.04 | 17.0 |
| Inferno | 3 | 67% | 0.87 | 13.7 |
| Nuke | 1 | 0% | 1.19 | 19.0 |
| Ancient | 1 | 0% | 1.12 | 27.0 |
| Dust2 | 1 | 100% | 1.62 | 13.0 |
| Train | 1 | 0% | 0.94 | 17.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2975 — below the 0.5 mark we flag
- 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 37.7413% — 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.
23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.01 | 19% | 24 Aug → | ||
| 2–13 | -0.06 | 3% | 24 Aug → | ||
| 13–10 | -0.01 | 11% | 24 Aug → | ||
| 8–13 | -0.05 | 26% | 24 Aug → | ||
| 13–9 | 0.08 | 18% | 23 Aug → | ||
| 16–14 | 0.08 | 17% | 23 Aug → | ||
| 16–14 | 0.11 | 19% | 23 Aug → | ||
| 5–13 | -0.04 | 20% | 23 Aug → | ||
| 13–4 | -0.00 | 8% | 23 Aug → | ||
| 13–3 | -0.00 | 12% | 23 Aug → | ||
| 10–13 | 0.06 | 10% | 23 Aug → | ||
| 13–9 | 0.04 | 13% | 22 Aug → | ||
| 13–8 | -0.02 | 16% | 22 Aug → | ||
| 13–4 | -0.01 | 19% | 22 Aug → | ||
| 13–8 | -0.01 | 7% | 22 Aug → | ||
| 5–13 | 0.02 | 28% | 22 Aug → | ||
| 7–5 | -0.07 | 9% | 22 Aug → | ||
| 10–13 | 0.04 | 23% | 19 Aug → | ||
| 13–16 | -0.01 | 11% | 19 Aug → | ||
| 5–13 | -0.01 | 14% | 19 Aug → | ||
| 13–6 | 0.06 | 16% | 19 Aug → | ||
| 13–8 | 0.01 | 15% | 19 Aug → | ||
| 11–13 | -0.01 | 11% | 19 Aug → | ||
| 13–9 | -0.01 | 14% | 18 Aug → | ||
| 0–8 | -0.01 | 16% | 18 Aug → | ||
| 13–6 | -0.01 | 23% | 18 Aug → | ||
| 9–13 | -0.06 | 11% | 18 Aug → | ||
| 10–13 | -0.06 | 22% | 16 Aug → | ||
| 10–13 | -0.03 | 15% | 14 Aug → | ||
| 10–13 | 0.06 | 25% | 14 Aug → | ||
| 13–11 | -0.07 | 19% | 14 Aug → | ||
| 13–8 | -0.03 | 21% | 14 Aug → | ||
| 13–10 | 0.02 | 14% | 14 Aug → | ||
| 10–13 | -0.04 | 18% | 14 Aug → | ||
| 13–9 | 0.07 | 22% | 14 Aug → | ||
| 13–9 | 0.10 | 19% | 14 Aug → | ||
| 13–4 | -0.07 | 10% | 14 Aug → | ||
| 13–6 | -0.00 | 16% | 13 Aug → | ||
| 13–10 | 0.02 | 13% | 13 Aug → | ||
| 13–8 | 0.01 | 9% | 13 Aug → | ||
| 4–13 | -0.08 | 14% | 13 Aug → | ||
| 11–13 | -0.06 | 3% | 13 Aug → | ||
| 7–13 | 0.00 | 29% | 13 Aug → | ||
| 13–9 | -0.05 | 13% | 13 Aug → | ||
| 15–15 | 0.02 | 13% | 12 Aug → | ||
| 6–13 | -0.06 | 8% | 12 Aug → | ||
| 13–7 | 0.03 | 12% | 12 Aug → | ||
| 9–3 | 0.05 | 22% | 12 Aug → | ||
| 16–13 | -0.03 | 9% | 12 Aug → | ||
| 5–13 | -0.02 | 15% | 12 Aug → | ||
| 9–13 | -0.03 | 9% | 12 Aug → | ||
| 8–13 | -0.03 | 12% | 12 Aug → | ||
| 11–13 | -0.02 | 14% | 12 Aug → | ||
| 13–4 | 0.04 | 29% | 12 Aug → | ||
| 13–11 | 0.01 | 24% | 12 Aug → | ||
| 11–13 | 0.04 | 14% | 12 Aug → | ||
| 8–13 | -0.05 | 13% | 12 Aug → | ||
| 13–4 | 0.11 | 15% | 12 Aug → | ||
| 9–13 | 0.00 | 10% | 12 Aug → | ||
| 5–13 | 0.11 | 29% | 12 Aug → | ||
| 9–13 | -0.01 | 16% | 12 Aug → | ||
| 3–12 | -0.10 | 0% | 12 Aug → | ||
| 13–9 | -0.04 | 21% | 11 Aug → | ||
| 13–1 | 0.00 | 17% | 11 Aug → | ||
| 5–9 | -0.05 | 14% | 11 Aug → | ||
| 15–15 | 0.01 | 15% | 11 Aug → | ||
| 13–8 | -0.02 | 17% | 11 Aug → | ||
| 11–13 | -0.02 | 11% | 9 Aug → | ||
| 11–13 | -0.03 | 5% | 7 Aug → | ||
| 7–13 | 0.26 | 23% | 7 Aug → | ||
| 8–13 | -0.05 | 10% | 7 Aug → | ||
| 8–13 | 0.03 | 15% | 7 Aug → | ||
| 13–2 | 0.04 | 15% | 7 Aug → | ||
| 13–4 | -0.01 | 23% | 6 Aug → | ||
| 10–13 | -0.04 | 25% | 5 Aug → | ||
| 13–2 | 0.02 | 19% | 5 Aug → | ||
| 6–13 | -0.04 | 12% | 5 Aug → | ||
| 16–14 | 0.04 | 25% | 5 Aug → | ||
| 8–13 | 0.11 | 17% | 5 Aug → | ||
| 13–8 | 0.02 | 14% | 5 Aug → | ||
| 9–13 | 0.06 | 14% | 5 Aug → | ||
| 8–13 | 0.01 | 28% | 5 Aug → | ||
| 16–14 | 0.00 | 18% | 5 Aug → | ||
| 13–9 | -0.02 | 21% | 5 Aug → | ||
| 13–8 | -0.02 | 16% | 5 Aug → | ||
| 13–10 | -0.00 | 13% | 5 Aug → | ||
| 13–9 | 0.01 | 20% | 5 Aug → | ||
| 13–7 | 0.00 | 15% | 5 Aug → | ||
| 13–9 | 0.03 | 20% | 5 Aug → | ||
| 13–11 | 0.04 | 10% | 5 Aug → | ||
| 13–9 | 0.06 | 10% | 5 Aug → | ||
| 9–13 | -0.00 | 8% | 4 Aug → | ||
| 8–13 | -0.01 | 26% | 4 Aug → | ||
| 13–11 | -0.05 | 7% | 4 Aug → | ||
| 13–7 | 0.01 | 15% | 4 Aug → | ||
| 9–13 | 0.04 | 22% | 4 Aug → | ||
| 11–13 | -0.07 | 11% | 4 Aug → | ||
| 16–14 | 0.05 | 17% | 4 Aug → | ||
| 13–11 | 0.07 | 23% | 4 Aug → | ||
| 14–16 | 0.02 | 20% | 4 Aug → |
Match data via Leetify.