Just1ce — CS2 Stats
ZA76561198371923680[U:1:411657952]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 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 95% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 91 — the mechanical foundation is a clear strength.
CT openings. 71% 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 71% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.
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 7.3/10 (Strong), 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 |
|---|---|---|---|---|---|
| D | 35 | 12–23 | 34% | 0.04 | |
| B | 30 | 16–14 | 53% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| C | 7 | 3–4 | 43% | 0.06 | |
| D | 6 | 1–5 | 17% | 0.02 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 4 | 1–3 | 25% | 0.11 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 18 | 22% | 0.71 | 10.6 |
| Ancient | 16 | 38% | 0.97 | 12.5 |
| Dust2 | 15 | 20% | 1.26 | 13.5 |
| Anubis | 11 | 45% | 1.03 | 13.2 |
| Inferno | 8 | 38% | 0.93 | 11.8 |
| Nuke | 5 | 20% | 0.78 | 14.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | 0.08 | 46% | 27 Aug → | ||
| 7–13 | -0.04 | 46% | 27 Aug → | ||
| 13–5 | 0.00 | 54% | 27 Aug → | ||
| 13–8 | -0.03 | 18% | 13 Aug → | ||
| 7–13 | -0.01 | 35% | 13 Aug → | ||
| 4–13 | -0.11 | 21% | 13 Aug → | ||
| 2–13 | 0.04 | 22% | 11 Aug → | ||
| 9–13 | 0.07 | 36% | 11 Aug → | ||
| 13–4 | 0.08 | 35% | 11 Aug → | ||
| 3–13 | -0.02 | 15% | 6 Aug → | ||
| 7–13 | -0.02 | 26% | 6 Aug → | ||
| 9–13 | -0.01 | 31% | 6 Aug → | ||
| 16–12 | 0.07 | 26% | 5 Aug → | ||
| 13–3 | -0.03 | 40% | 5 Aug → | ||
| 14–16 | -0.02 | 24% | 26 Jul → | ||
| 8–13 | 0.06 | 31% | 26 Jul → | ||
| 11–13 | 0.12 | 29% | 22 Jul → | ||
| 16–14 | 0.07 | 32% | 21 Jul → | ||
| 13–4 | 0.06 | 29% | 21 Jul → | ||
| 13–6 | 0.05 | 28% | 21 Jul → | ||
| 13–11 | 0.20 | 30% | 20 Jul → | ||
| 13–11 | 0.06 | 33% | 20 Jul → | ||
| 3–13 | -0.05 | 35% | 20 Jul → | ||
| 13–11 | 0.11 | 38% | 20 Jul → | ||
| 12–12 | 0.03 | 28% | 19 Jul → | ||
| 7–13 | 0.11 | 36% | 19 Jul → | ||
| 13–4 | 0.08 | 33% | 16 Jul → | ||
| 14–16 | 0.02 | 29% | 16 Jul → | ||
| 13–4 | 0.13 | 29% | 16 Jul → | ||
| 13–7 | 0.10 | 33% | 16 Jul → | ||
| 10–13 | 0.02 | 34% | 16 Jul → | ||
| 5–13 | 0.04 | 43% | 15 Jul → | ||
| 12–12 | 0.05 | 30% | 15 Jul → | ||
| 16–13 | 0.02 | 25% | 15 Jul → | ||
| 13–7 | 0.13 | 31% | 14 Jul → | ||
| 5–13 | 0.02 | 28% | 14 Jul → | ||
| 13–11 | 0.06 | 47% | 13 Jul → | ||
| 13–6 | 0.09 | 42% | 13 Jul → | ||
| 7–13 | 0.03 | 33% | 13 Jul → | ||
| 7–13 | 0.02 | 49% | 9 Jul → | ||
| 11–13 | -0.01 | 32% | 9 Jul → | ||
| 13–7 | -0.05 | 28% | 9 Jul → | ||
| 1–13 | -0.07 | 50% | 9 Jul → | ||
| 15–15 | 0.04 | 33% | 2 Jul → | ||
| 7–13 | -0.01 | 40% | 2 Jul → | ||
| 13–9 | 0.02 | 15% | 2 Jul → | ||
| 11–13 | 0.04 | 37% | 25 Jun → | ||
| 11–13 | -0.01 | 35% | 25 Jun → | ||
| 13–5 | -0.00 | 46% | 18 Jun → | ||
| 13–5 | 0.10 | 32% | 18 Jun → | ||
| 5–13 | 0.06 | 37% | 11 Jun → | ||
| 13–4 | 0.12 | 48% | 11 Jun → | ||
| 9–13 | -0.05 | 25% | 8 Jun → | ||
| 11–13 | 0.07 | 18% | 7 Jun → | ||
| 11–13 | 0.03 | 27% | 7 Jun → | ||
| 12–12 | -0.02 | 16% | 7 Jun → | ||
| 6–13 | -0.03 | 19% | 4 Jun → | ||
| 9–13 | -0.02 | 50% | 4 Jun → | ||
| 13–6 | 0.05 | 27% | 4 Jun → | ||
| 10–13 | -0.02 | 30% | 27 May → | ||
| 3–13 | 0.03 | 20% | 15 May → | ||
| 7–13 | 0.02 | 27% | 15 May → | ||
| 9–13 | 0.04 | 28% | 15 May → | ||
| 5–13 | -0.00 | 19% | 15 May → | ||
| 13–2 | 0.08 | 23% | 15 May → | ||
| 13–10 | 0.05 | 33% | 14 May → | ||
| 13–8 | 0.03 | 24% | 14 May → | ||
| 8–13 | 0.17 | 26% | 13 May → | ||
| 5–13 | 0.10 | 30% | 13 May → | ||
| 13–6 | 0.07 | 36% | 13 May → | ||
| 9–13 | 0.07 | 30% | 13 May → | ||
| 8–13 | 0.12 | 32% | 12 May → | ||
| 13–9 | 0.08 | 13% | 12 May → | ||
| 5–13 | 0.06 | 35% | 12 May → | ||
| 9–13 | 0.03 | 18% | 12 May → | ||
| 5–13 | 0.03 | 24% | 11 May → | ||
| 8–13 | -0.02 | 33% | 11 May → | ||
| 7–13 | -0.01 | 25% | 10 May → | ||
| 13–10 | 0.01 | 13% | 10 May → | ||
| 10–4 | 0.08 | 17% | 10 May → | ||
| 10–13 | 0.07 | 25% | 7 May → | ||
| 13–4 | 0.02 | 30% | 7 May → | ||
| 13–2 | -0.02 | 27% | 6 May → | ||
| 13–10 | 0.08 | 40% | 6 May → | ||
| 12–12 | 0.03 | 25% | 5 May → | ||
| 13–4 | 0.07 | 51% | 5 May → | ||
| 13–9 | 0.01 | 24% | 22 Apr → | ||
| 11–13 | 0.04 | 19% | 22 Apr → | ||
| 13–7 | -0.09 | 20% | 22 Apr → | ||
| 13–2 | 0.04 | 22% | 22 Apr → | ||
| 13–9 | -0.01 | 25% | 20 Apr → | ||
| 6–13 | -0.09 | 22% | 20 Apr → | ||
| 3–13 | -0.03 | 29% | 20 Apr → | ||
| 15–15 | 0.03 | 30% | 19 Apr → | ||
| 13–7 | 0.01 | 24% | 18 Apr → | ||
| 7–13 | 0.07 | 32% | 18 Apr → | ||
| 12–12 | 0.19 | 38% | 18 Apr → | ||
| 3–13 | -0.02 | 33% | 16 Apr → | ||
| 13–5 | -0.05 | 26% | 16 Apr → | ||
| 4–13 | -0.06 | 24% | 16 Apr → |
Match data via Leetify.