remi-_- — CS2 Stats
76561198124511316[U:1:164245588]
Rating over time
Faceit ELO
- At peak — 3,012
- Next: 3,500 ELO at 3,500 — 488 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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 |
|---|---|---|
| Headshot rate | 50.6% | 52.8% |
| Shot accuracy | 15.4% | 13.7% |
| Kill/death ratio | 1.01 | 1.08 |
| Match win rate | 49.0% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ropz 93% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower aim 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
T-side openings. Opening success drops from 56% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 616ms 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 (×1.05 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 | 32 | 12–20 | 38% | -0.00 | |
| C | 16 | 7–9 | 44% | 0.03 | |
| B | 15 | 8–7 | 53% | 0.02 | |
| B | 13 | 7–6 | 54% | 0.05 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| S | 6 | 5–1 | 83% | 0.04 | |
| — | 4 | 4–0 | 100% | -0.00 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 32). Start with the 6 essential Mirage 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 603 | 54% | 1.28 | 17.6 |
| Ancient | 315 | 46% | 1.15 | 16.2 |
| Nuke | 297 | 56% | 1.26 | 17.4 |
| Dust2 | 220 | 54% | 1.12 | 16.9 |
| Anubis | 220 | 54% | 1.11 | 15.8 |
| Inferno | 210 | 48% | 1.19 | 18.0 |
| Train | 107 | 58% | 1.27 | 18.1 |
| Overpass | 19 | 47% | 1.10 | 15.8 |
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.
38% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.01 | 22% | 24 Aug → | ||
| 13–7 | -0.04 | 27% | 10 Aug → | ||
| 13–10 | 0.03 | 37% | 14 Jul → | ||
| 9–13 | -0.00 | 45% | 7 Jul → | ||
| 13–6 | 0.01 | 27% | 4 Jul → | ||
| 10–13 | 0.03 | 38% | 4 Jul → | ||
| 13–7 | 0.07 | 17% | 3 Jul → | ||
| 13–5 | 0.05 | 41% | 22 Jun → | ||
| 6–13 | 0.01 | 32% | 17 Jun → | ||
| 6–13 | 0.00 | 13% | 10 Jun → | ||
| 13–9 | 0.10 | 30% | 8 Jun → | ||
| 16–13 | 0.13 | 23% | 13 May → | ||
| 17–19 | -0.01 | 21% | 7 Apr → | ||
| 13–16 | 0.01 | 15% | 3 Apr → | ||
| 13–5 | 0.05 | 18% | 25 Mar → | ||
| 7–13 | -0.02 | 18% | 22 Mar → | ||
| 5–13 | -0.04 | 30% | 22 Mar → | ||
| 13–10 | 0.06 | 24% | 15 Mar → | ||
| 5–13 | -0.05 | 25% | 5 Mar → | ||
| 12–12 | 0.14 | 34% | 4 Mar → | ||
| 16–14 | 0.02 | 24% | 26 Jan → | ||
| 8–13 | -0.03 | 15% | 19 Jan → | ||
| 16–13 | 0.00 | 39% | 11 Jan → | ||
| 8–13 | -0.05 | 18% | 3 Jan → | ||
| 8–13 | 0.05 | 35% | 2 Jan → | ||
| 6–12 | -0.04 | 23% | 23 Dec → | ||
| 13–7 | 0.06 | 11% | 22 Dec → | ||
| 4–13 | -0.04 | 44% | 21 Dec → | ||
| 11–13 | -0.02 | 31% | 10 Dec → | ||
| 8–13 | -0.02 | 26% | 4 Dec → | ||
| 2–13 | -0.03 | 21% | 4 Dec → | ||
| 14–16 | 0.04 | 29% | 2 Dec → | ||
| 13–11 | -0.03 | 33% | 28 Nov → | ||
| 11–13 | 0.04 | 23% | 26 Nov → | ||
| 13–6 | 0.00 | 20% | 16 Nov → | ||
| 13–5 | 0.11 | 26% | 16 Nov → | ||
| 13–11 | 0.05 | 31% | 16 Nov → | ||
| 13–6 | 0.16 | 34% | 16 Nov → | ||
| 3–3 | -0.07 | 75% | 13 Nov → | ||
| 13–8 | 0.05 | 15% | 13 Nov → | ||
| 11–13 | 0.04 | 23% | 2 Nov → | ||
| 3–13 | -0.05 | 29% | 29 Oct → | ||
| 9–13 | 0.02 | 30% | 15 Oct → | ||
| 13–8 | 0.05 | 41% | 15 Oct → | ||
| 5–13 | -0.00 | 36% | 13 Oct → | ||
| 13–6 | -0.01 | 42% | 10 Oct → | ||
| 13–3 | 0.07 | 28% | 10 Oct → | ||
| 16–14 | 0.02 | 18% | 28 Sept → | ||
| 2–13 | -0.03 | 36% | 14 Sept → | ||
| 13–8 | 0.04 | 29% | 14 Sept → | ||
| 5–13 | 0.02 | 39% | 29 Aug → | ||
| 8–13 | -0.09 | 42% | 27 Aug → | ||
| 13–8 | 0.08 | 26% | 11 Aug → | ||
| 13–2 | 0.07 | 20% | 19 Jun → | ||
| 13–10 | -0.00 | 25% | 15 Jun → | ||
| 13–10 | 0.08 | 22% | 3 Jun → | ||
| 3–13 | 0.03 | 14% | 17 May → | ||
| 13–10 | -0.03 | 22% | 16 May → | ||
| 22–20 | 0.02 | 15% | 12 May → | ||
| 13–11 | -0.00 | 22% | 11 May → | ||
| 6–13 | 0.07 | 23% | 10 May → | ||
| 17–19 | -0.04 | 20% | 28 Apr → | ||
| 7–13 | -0.06 | 21% | 27 Apr → | ||
| 13–9 | -0.04 | 16% | 27 Apr → | ||
| 13–6 | 0.02 | 28% | 27 Apr → | ||
| 12–12 | 0.10 | 19% | 24 Apr → | ||
| 13–6 | 0.03 | 35% | 14 Apr → | ||
| 7–13 | 0.07 | 13% | 14 Apr → | ||
| 13–11 | -0.05 | 22% | 8 Apr → | ||
| 12–12 | 0.19 | 26% | 5 Apr → | ||
| 12–12 | 0.05 | 24% | 5 Apr → | ||
| 13–6 | -0.02 | 8% | 25 Mar → | ||
| 9–13 | -0.08 | 18% | 23 Mar → | ||
| 9–13 | 0.02 | 35% | 14 Mar → | ||
| 13–4 | 0.10 | 20% | 9 Mar → | ||
| 13–11 | 0.03 | 32% | 7 Mar → | ||
| 13–1 | 0.03 | 29% | 4 Mar → | ||
| 9–13 | -0.02 | 25% | 2 Mar → | ||
| 10–13 | -0.03 | 26% | 27 Feb → | ||
| 13–2 | 0.04 | 18% | 26 Feb → | ||
| 4–13 | -0.03 | 18% | 16 Feb → | ||
| 13–7 | 0.03 | 20% | 13 Feb → | ||
| 10–13 | 0.02 | 16% | 11 Feb → | ||
| 8–13 | -0.04 | 13% | 9 Feb → | ||
| 9–13 | 0.02 | 28% | 6 Feb → | ||
| 13–11 | 0.03 | 19% | 5 Feb → | ||
| 9–13 | -0.02 | 24% | 15 Jan → | ||
| 13–4 | -0.02 | 15% | 8 Jan → | ||
| 8–13 | -0.00 | 26% | 7 Jan → | ||
| 2–13 | -0.04 | 22% | 5 Jan → | ||
| 13–11 | -0.00 | 21% | 5 Jan → | ||
| 7–13 | -0.01 | 24% | 3 Jan → | ||
| 13–10 | -0.01 | 38% | 11 Dec → | ||
| 13–4 | 0.07 | 37% | 10 Dec → | ||
| 13–3 | 0.10 | 40% | 10 Dec → | ||
| 13–4 | 0.11 | 41% | 3 Dec → | ||
| 13–8 | 0.07 | 30% | 3 Dec → | ||
| 13–9 | -0.04 | 42% | 20 Nov → | ||
| 13–6 | 0.04 | 27% | 18 Nov → | ||
| 7–13 | -0.04 | 28% | 13 Nov → |
Match data via Leetify.