rem — CS2 Stats
76561198092971561[U:1:132705833]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingLimited utility dependence
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 83% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower opening-duel success; 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
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 633ms 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 5.3/10 (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 |
|---|---|---|---|---|---|
| office | C | 51 | 19–32 | 37% | 0.01 |
| C | 31 | 13–18 | 42% | -0.01 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.05 | |
| boulder | — | 1 | 0–1 | 0% | -0.04 |
| — | 1 | 0–1 | 0% | -0.03 | |
| shelter | — | 1 | 0–1 | 0% | -0.07 |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
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.
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 0.0966 — 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 34.9852% — 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.
42% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.05 | 61% | 25 Aug → | ||
| 4–13 | 0.03 | 32% | 24 Aug → | ||
| 2–13 | -0.07 | 50% | 24 Aug → | ||
| office | 9–13 | -0.03 | 61% | 24 Aug → | |
| 13–11 | -0.06 | 22% | 24 Aug → | ||
| 11–13 | 0.01 | 55% | 23 Aug → | ||
| office | 4–13 | 0.16 | 68% | 22 Aug → | |
| 8–13 | -0.10 | 50% | 22 Aug → | ||
| office | 13–6 | 0.05 | 56% | 22 Aug → | |
| office | 12–12 | 0.01 | 72% | 20 Aug → | |
| 10–13 | -0.00 | 35% | 20 Aug → | ||
| 12–12 | -0.05 | 31% | 19 Aug → | ||
| 9–13 | -0.04 | 32% | 18 Aug → | ||
| 13–8 | 0.02 | 40% | 18 Aug → | ||
| 4–13 | -0.05 | 23% | 18 Aug → | ||
| 2–13 | -0.06 | 15% | 16 Aug → | ||
| office | 6–13 | -0.00 | 52% | 16 Aug → | |
| office | 13–9 | 0.03 | 62% | 16 Aug → | |
| 9–13 | -0.07 | 40% | 16 Aug → | ||
| office | 7–13 | 0.06 | 49% | 16 Aug → | |
| office | 3–13 | 0.01 | 79% | 16 Aug → | |
| 11–9 | -0.02 | 33% | 16 Aug → | ||
| office | 13–4 | 0.08 | 43% | 16 Aug → | |
| office | 9–13 | -0.06 | 41% | 14 Aug → | |
| 13–9 | 0.02 | 55% | 14 Aug → | ||
| 7–13 | 0.00 | 47% | 14 Aug → | ||
| office | 12–12 | 0.01 | 53% | 13 Aug → | |
| 9–13 | 0.02 | 50% | 13 Aug → | ||
| 13–9 | 0.01 | 42% | 13 Aug → | ||
| office | 4–13 | -0.07 | 33% | 13 Aug → | |
| office | 12–12 | 0.05 | 70% | 12 Aug → | |
| 12–12 | 0.08 | 67% | 12 Aug → | ||
| 13–10 | -0.07 | 18% | 12 Aug → | ||
| 10–13 | -0.04 | 17% | 11 Aug → | ||
| 9–13 | -0.03 | 21% | 11 Aug → | ||
| 13–6 | 0.08 | 14% | 10 Aug → | ||
| office | 6–13 | -0.10 | 44% | 9 Aug → | |
| office | 9–13 | -0.00 | 39% | 9 Aug → | |
| office | 13–5 | 0.06 | 63% | 8 Aug → | |
| office | 7–13 | 0.01 | 53% | 8 Aug → | |
| office | 13–2 | -0.07 | 62% | 8 Aug → | |
| office | 5–13 | 0.03 | 30% | 8 Aug → | |
| office | 6–13 | -0.00 | 64% | 8 Aug → | |
| 3–9 | -0.10 | 23% | 7 Aug → | ||
| office | 13–8 | -0.01 | 57% | 6 Aug → | |
| office | 13–8 | 0.03 | 45% | 4 Aug → | |
| office | 13–1 | 0.09 | 69% | 3 Aug → | |
| office | 8–13 | -0.01 | 33% | 3 Aug → | |
| office | 4–13 | 0.01 | 50% | 3 Aug → | |
| office | 12–12 | 0.06 | 38% | 3 Aug → | |
| office | 6–13 | -0.12 | 50% | 2 Aug → | |
| office | 13–6 | 0.06 | 43% | 2 Aug → | |
| office | 2–13 | -0.04 | 37% | 2 Aug → | |
| office | 11–13 | 0.00 | 29% | 2 Aug → | |
| office | 8–13 | -0.03 | 44% | 1 Aug → | |
| office | 12–12 | -0.05 | 31% | 1 Aug → | |
| office | 13–9 | -0.07 | 16% | 1 Aug → | |
| office | 13–9 | -0.02 | 45% | 31 Jul → | |
| office | 13–11 | -0.06 | 38% | 31 Jul → | |
| 8–13 | 0.02 | 32% | 30 Jul → | ||
| boulder | 7–13 | -0.04 | 17% | 30 Jul → | |
| office | 9–13 | -0.05 | 26% | 30 Jul → | |
| office | 11–13 | -0.01 | 15% | 30 Jul → | |
| 16–14 | -0.01 | 17% | 29 Jul → | ||
| 13–1 | -0.01 | 64% | 29 Jul → | ||
| office | 6–3 | 0.01 | 57% | 29 Jul → | |
| office | 11–13 | 0.01 | 30% | 28 Jul → | |
| 12–12 | -0.03 | 14% | 27 Jul → | ||
| 13–7 | -0.01 | 12% | 27 Jul → | ||
| office | 12–12 | -0.03 | 23% | 24 Jul → | |
| office | 5–12 | 0.00 | 33% | 23 Jul → | |
| office | 6–13 | 0.01 | 42% | 21 Jul → | |
| 13–7 | 0.00 | 26% | 20 Jul → | ||
| office | 13–10 | -0.04 | 50% | 19 Jul → | |
| office | 13–5 | 0.03 | 39% | 19 Jul → | |
| office | 13–7 | 0.05 | 22% | 18 Jul → | |
| 13–5 | 0.01 | 13% | 18 Jul → | ||
| 12–12 | -0.03 | 16% | 16 Jul → | ||
| 13–10 | -0.04 | 21% | 15 Jul → | ||
| office | 13–6 | -0.02 | 0% | 15 Jul → | |
| 13–8 | 0.01 | 15% | 12 Jul → | ||
| shelter | 3–13 | -0.07 | 22% | 10 Jul → | |
| office | 12–12 | 0.03 | 23% | 7 Jul → | |
| 13–5 | 0.08 | 24% | 6 Jul → | ||
| office | 13–1 | 0.11 | 27% | 6 Jul → | |
| 9–13 | 0.08 | 17% | 5 Jul → | ||
| 13–4 | -0.03 | 13% | 5 Jul → | ||
| 8–13 | -0.07 | 15% | 5 Jul → | ||
| 13–1 | 0.08 | 18% | 5 Jul → | ||
| 6–13 | -0.06 | 8% | 5 Jul → | ||
| office | 12–12 | 0.03 | 34% | 4 Jul → | |
| 13–11 | -0.06 | 19% | 4 Jul → | ||
| 12–12 | 0.01 | 16% | 4 Jul → | ||
| office | 13–9 | 0.04 | 24% | 4 Jul → | |
| 13–5 | 0.02 | 22% | 4 Jul → | ||
| 9–13 | 0.09 | 25% | 2 Jul → | ||
| office | 11–13 | 0.05 | 17% | 1 Jul → | |
| 10–13 | 0.01 | 30% | 1 Jul → | ||
| 13–5 | -0.02 | 16% | 1 Jul → | ||
| 13–4 | 0.01 | 14% | 30 Jun → |
Match data via Leetify.