scarlet <3 — CS2 Stats
US76561198965895312[U:1:1005629584]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 · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong 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 s1mple 89% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Strengths
CT openings. 73% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 73% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 599ms 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 (×1.00 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 |
|---|---|---|---|---|---|
 inferno | A | 29 | 16–13 | 55% | 0.02 |
 mirage | D | 21 | 7–14 | 33% | 0.02 |
 dust2 | A | 18 | 11–7 | 61% | 0.02 |
 anubis | A | 8 | 5–3 | 63% | 0.02 |
 cache | A | 7 | 4–3 | 57% | 0.01 |
 overpass | S | 6 | 4–2 | 67% | 0.03 |
| office | C | 5 | 2–3 | 40% | 0.01 |
 nuke | C | 5 | 2–3 | 40% | -0.00 |
| warden | — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 67% | 1.20 | 17.3 |
| Train | 1 | 0% | 0.80 | 12.0 |
| Inferno | 1 | 0% | 0.87 | 13.0 |
| Dust2 | 1 | 100% | 1.43 | 20.0 |
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 0.4129 — below the 0.5 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 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 10–13 | -0.02 | 28% | 23 Aug → | |
| inferno | 3–13 | -0.09 | 6% | 20 Aug → | |
| inferno | 11–13 | -0.03 | 15% | 11 Aug → | |
| dust2 | 6–13 | 0.03 | 29% | 10 Aug → | |
| mirage | 13–11 | 0.01 | 33% | 10 Aug → | |
| dust2 | 13–6 | 0.09 | 26% | 5 Aug → | |
| inferno | 3–13 | -0.05 | 23% | 5 Aug → | |
| inferno | 2–13 | 0.05 | 31% | 2 Aug → | |
| inferno | 7–13 | -0.00 | 22% | 2 Aug → | |
| anubis | 13–2 | 0.06 | 25% | 2 Aug → | |
| cache | 13–3 | 0.06 | 29% | 2 Aug → | |
| cache | 9–13 | -0.01 | 12% | 1 Aug → | |
| inferno | 13–10 | -0.02 | 26% | 20 Jun → | |
| cache | 13–9 | 0.05 | 29% | 20 Jun → | |
| inferno | 0–13 | -0.03 | 36% | 20 Jun → | |
| inferno | 13–11 | 0.01 | 21% | 11 Jun → | |
| inferno | 13–6 | 0.07 | 26% | 10 Jun → | |
| cache | 12–12 | -0.02 | 18% | 9 Jun → | |
| dust2 | 3–13 | -0.01 | 21% | 8 Jun → | |
| cache | 13–11 | 0.05 | 33% | 30 Apr → | |
| cache | 13–7 | 0.05 | 25% | 29 Apr → | |
| cache | 8–13 | -0.11 | 25% | 29 Apr → | |
| dust2 | 13–11 | -0.01 | 17% | 9 Mar → | |
| dust2 | 9–13 | 0.02 | 43% | 6 Mar → | |
| dust2 | 13–4 | 0.05 | 21% | 26 Jan → | |
| dust2 | 2–13 | -0.01 | 12% | 24 Jan → | |
| warden | 13–10 | 0.09 | 27% | 24 Jan → | |
| inferno | 9–13 | 0.00 | 38% | 22 Jan → | |
| dust2 | 10–13 | 0.06 | 26% | 22 Jan → | |
| overpass | 6–13 | -0.01 | 31% | 21 Jan → | |
| inferno | 6–13 | -0.04 | 33% | 21 Jan → | |
| dust2 | 3–13 | 0.02 | 4% | 20 Jan → | |
| dust2 | 13–4 | 0.02 | 19% | 20 Jan → | |
| dust2 | 13–9 | -0.01 | 10% | 15 Jan → | |
| inferno | 13–9 | 0.08 | 20% | 15 Jan → | |
| anubis | 12–12 | 0.01 | 19% | 14 Jan → | |
| anubis | 13–5 | 0.01 | 11% | 13 Jan → | |
| inferno | 13–8 | -0.03 | 13% | 13 Jan → | |
| mirage | 12–12 | 0.00 | 23% | 6 Jan → | |
| inferno | 13–3 | 0.03 | 30% | 6 Jan → | |
| inferno | 13–4 | 0.12 | 33% | 5 Jan → | |
| mirage | 5–13 | 0.03 | 31% | 4 Jan → | |
| inferno | 13–11 | 0.05 | 31% | 4 Jan → | |
| office | 7–13 | -0.03 | 24% | 4 Jan → | |
| anubis | 13–9 | 0.04 | 47% | 3 Jan → | |
| overpass | 13–9 | 0.06 | 39% | 3 Jan → | |
| inferno | 13–8 | -0.02 | 23% | 2 Jan → | |
| overpass | 13–9 | 0.11 | 37% | 2 Jan → | |
| office | 5–13 | -0.00 | 24% | 2 Jan → | |
| office | 13–5 | 0.06 | 26% | 29 Dec → | |
| office | 13–3 | -0.00 | 41% | 29 Dec → | |
| inferno | 13–2 | 0.15 | 20% | 29 Dec → | |
| overpass | 13–7 | -0.00 | 13% | 28 Dec → | |
| mirage | 12–12 | -0.02 | 22% | 28 Dec → | |
| inferno | 12–12 | 0.06 | 25% | 27 Dec → | |
| mirage | 9–13 | -0.01 | 13% | 26 Dec → | |
| mirage | 12–12 | 0.05 | 14% | 24 Dec → | |
| inferno | 13–7 | 0.04 | 21% | 24 Dec → | |
| anubis | 3–13 | 0.01 | 38% | 24 Dec → | |
| mirage | 10–13 | 0.03 | 28% | 23 Dec → | |
| inferno | 10–4 | 0.02 | 35% | 23 Dec → | |
| mirage | 13–9 | 0.06 | 24% | 23 Dec → | |
| inferno | 7–13 | -0.03 | 15% | 23 Dec → | |
| inferno | 13–3 | 0.01 | 25% | 23 Dec → | |
| inferno | 13–5 | 0.14 | 32% | 23 Dec → | |
| mirage | 13–5 | 0.13 | 21% | 22 Dec → | |
| anubis | 13–6 | 0.01 | 17% | 20 Dec → | |
| mirage | 7–13 | 0.00 | 29% | 19 Dec → | |
| dust2 | 13–7 | 0.03 | 33% | 18 Dec → | |
| overpass | 13–3 | 0.00 | 36% | 18 Dec → | |
| inferno | 6–13 | -0.00 | 29% | 18 Dec → | |
| nuke | 13–10 | 0.13 | 26% | 14 Dec → | |
| mirage | 11–13 | -0.01 | 15% | 14 Dec → | |
| dust2 | 13–9 | -0.05 | 41% | 14 Dec → | |
| dust2 | 13–5 | 0.09 | 33% | 13 Dec → | |
| mirage | 10–0 | -0.01 | 18% | 13 Dec → | |
| mirage | 10–13 | -0.00 | 34% | 13 Dec → | |
| nuke | 7–13 | -0.03 | 12% | 12 Dec → | |
| inferno | 9–13 | -0.04 | 22% | 12 Dec → | |
| nuke | 13–10 | -0.07 | 24% | 11 Dec → | |
| mirage | 13–10 | 0.05 | 28% | 8 Dec → | |
| dust2 | 13–11 | -0.01 | 36% | 7 Dec → | |
| mirage | 7–13 | -0.01 | 21% | 7 Dec → | |
| office | 4–13 | 0.03 | 27% | 4 Dec → | |
| mirage | 13–5 | 0.08 | 40% | 4 Dec → | |
| nuke | 1–13 | -0.02 | 31% | 4 Dec → | |
| mirage | 7–13 | 0.00 | 19% | 3 Dec → | |
| nuke | 0–9 | -0.03 | 44% | 3 Dec → | |
| overpass | 4–13 | 0.00 | 35% | 3 Dec → | |
| inferno | 13–9 | -0.01 | 19% | 2 Dec → | |
| mirage | 12–12 | 0.00 | 18% | 2 Dec → | |
| dust2 | 13–4 | 0.00 | 32% | 27 Nov → | |
| anubis | 13–2 | 0.02 | 22% | 23 Nov → | |
| inferno | 13–9 | 0.06 | 13% | 17 Nov → | |
| mirage | 13–11 | 0.01 | 28% | 16 Nov → | |
| mirage | 6–13 | -0.02 | 13% | 14 Nov → | |
| dust2 | 13–1 | 0.16 | 9% | 14 Nov → | |
| dust2 | 0–13 | -0.04 | 19% | 14 Nov → | |
| inferno | 9–13 | 0.03 | 24% | 13 Nov → | |
| mirage | 12–12 | 0.03 | 16% | 13 Nov → |
Match data via Leetify.