Romppari — CS2 Stats
76561198125603969[U:1:165338241]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 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 NiKo 85% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
Reaction time. 627ms 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 4.6/10 (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 |
|---|---|---|---|---|---|
| B | 24 | 11–13 | 46% | -0.01 | |
| D | 24 | 8–16 | 33% | -0.01 | |
| A | 14 | 8–6 | 57% | 0.03 | |
| B | 12 | 6–6 | 50% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.00 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| — | 4 | 1–3 | 25% | -0.02 | |
| — | 2 | 1–1 | 50% | -0.00 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| office | — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Dust 2 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 115 | 57% | 1.19 | 15.3 |
| Ancient | 103 | 45% | 0.97 | 13.8 |
| Anubis | 73 | 47% | 1.07 | 14.9 |
| Inferno | 46 | 50% | 1.04 | 14.3 |
| Mirage | 43 | 56% | 1.04 | 14.3 |
| Train | 28 | 57% | 1.22 | 15.7 |
| Dust2 | 28 | 46% | 1.23 | 13.8 |
| Vertigo | 27 | 70% | 1.04 | 13.8 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.8035% — below the 15% 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 35.5882% — 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.
33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.00 | 16% | 26 Aug → | ||
| 12–16 | -0.01 | 8% | 25 Aug → | ||
| 10–13 | -0.06 | 4% | 25 Aug → | ||
| 9–13 | 0.02 | 9% | 19 Aug → | ||
| 13–8 | -0.03 | 3% | 19 Aug → | ||
| 3–0 | 0.02 | 50% | 19 Aug → | ||
| 5–13 | -0.05 | 13% | 18 Aug → | ||
| 7–13 | 0.04 | 25% | 18 Aug → | ||
| 11–13 | 0.05 | 16% | 15 Aug → | ||
| 5–13 | -0.05 | 36% | 15 Aug → | ||
| 16–14 | 0.06 | 19% | 15 Aug → | ||
| 11–13 | -0.01 | 22% | 14 Aug → | ||
| 13–10 | 0.07 | 14% | 11 Aug → | ||
| 13–6 | 0.06 | 9% | 8 Aug → | ||
| 13–6 | -0.01 | 16% | 8 Aug → | ||
| 7–13 | 0.02 | 18% | 8 Aug → | ||
| 11–13 | 0.02 | 11% | 6 Aug → | ||
| 13–11 | -0.02 | 9% | 6 Aug → | ||
| 7–13 | -0.06 | 15% | 6 Aug → | ||
| 4–13 | -0.04 | 21% | 6 Aug → | ||
| 13–3 | -0.01 | 11% | 6 Aug → | ||
| 7–13 | -0.03 | 9% | 5 Aug → | ||
| 8–13 | 0.01 | 9% | 5 Aug → | ||
| 9–13 | -0.04 | 6% | 4 Aug → | ||
| 15–15 | 0.04 | 20% | 3 Aug → | ||
| 10–13 | 0.01 | 6% | 3 Aug → | ||
| 13–2 | 0.05 | 18% | 2 Aug → | ||
| 15–15 | -0.02 | 14% | 2 Aug → | ||
| 16–14 | -0.04 | 15% | 2 Aug → | ||
| 6–13 | -0.04 | 5% | 2 Aug → | ||
| 15–15 | 0.03 | 18% | 2 Aug → | ||
| 13–8 | -0.01 | 16% | 2 Aug → | ||
| 10–13 | 0.03 | 24% | 31 Jul → | ||
| 7–13 | -0.01 | 21% | 31 Jul → | ||
| 5–13 | -0.05 | 21% | 25 Jul → | ||
| 13–11 | -0.00 | 9% | 25 Jul → | ||
| 9–13 | -0.04 | 10% | 25 Jul → | ||
| 11–13 | -0.05 | 14% | 23 Jul → | ||
| 1–13 | -0.06 | 9% | 23 Jul → | ||
| 6–13 | -0.08 | 23% | 23 Jul → | ||
| 13–6 | 0.03 | 14% | 23 Jul → | ||
| 13–11 | 0.01 | 22% | 23 Jul → | ||
| office | 11–13 | 0.04 | 17% | 8 Jul → | |
| 11–13 | 0.01 | 11% | 4 Jul → | ||
| 13–6 | 0.04 | 16% | 1 Jul → | ||
| 11–13 | 0.00 | 15% | 25 Jun → | ||
| 9–13 | -0.01 | 7% | 22 Jun → | ||
| 13–9 | -0.03 | 29% | 22 Jun → | ||
| 13–10 | 0.03 | 8% | 22 Jun → | ||
| 10–13 | 0.02 | 10% | 21 Jun → | ||
| 13–7 | 0.02 | 24% | 8 Jun → | ||
| 13–5 | 0.02 | 12% | 8 Jun → | ||
| 10–13 | -0.02 | 19% | 8 Jun → | ||
| 5–11 | -0.01 | 19% | 7 Jun → | ||
| 10–13 | -0.05 | 13% | 7 Jun → | ||
| 13–3 | 0.00 | 16% | 6 Jun → | ||
| 13–2 | -0.03 | 15% | 6 Jun → | ||
| 15–15 | 0.02 | 12% | 6 Jun → | ||
| 13–2 | 0.08 | 21% | 6 Jun → | ||
| 13–6 | 0.04 | 14% | 6 Jun → | ||
| 9–7 | -0.07 | 18% | 6 Jun → | ||
| 13–9 | 0.08 | 19% | 6 Jun → | ||
| 13–3 | 0.01 | 11% | 6 Jun → | ||
| 7–13 | -0.04 | 19% | 4 Jun → | ||
| 15–15 | 0.02 | 17% | 4 Jun → | ||
| 9–13 | -0.07 | 18% | 4 Jun → | ||
| 13–5 | 0.02 | 21% | 31 May → | ||
| 13–6 | 0.09 | 25% | 31 May → | ||
| 3–13 | -0.19 | 0% | 26 May → | ||
| 13–8 | 0.09 | 20% | 25 May → | ||
| 5–13 | -0.03 | 9% | 25 May → | ||
| 13–11 | -0.02 | 19% | 14 May → | ||
| 13–5 | 0.01 | 16% | 14 May → | ||
| 10–13 | 0.04 | 20% | 14 May → | ||
| 5–13 | 0.00 | 23% | 14 May → | ||
| 7–13 | -0.01 | 3% | 14 May → | ||
| 9–13 | 0.01 | 16% | 13 May → | ||
| 13–9 | 0.06 | 22% | 10 May → | ||
| 13–2 | 0.06 | 30% | 10 May → | ||
| 11–13 | -0.03 | 20% | 9 May → | ||
| 10–13 | -0.04 | 8% | 8 May → | ||
| 13–8 | -0.04 | 8% | 4 May → | ||
| 13–10 | -0.03 | 13% | 4 May → | ||
| 13–10 | -0.04 | 3% | 4 May → | ||
| 13–11 | 0.04 | 13% | 1 May → | ||
| 3–13 | -0.12 | 10% | 1 May → | ||
| 7–13 | 0.02 | 13% | 29 Apr → | ||
| 13–11 | 0.03 | 26% | 29 Apr → | ||
| 7–13 | -0.08 | 16% | 28 Apr → | ||
| 7–13 | 0.03 | 8% | 25 Apr → | ||
| 8–13 | -0.02 | 12% | 24 Apr → | ||
| 2–13 | -0.06 | 15% | 23 Apr → | ||
| 13–8 | 0.03 | 12% | 23 Apr → | ||
| 16–14 | 0.07 | 16% | 23 Apr → | ||
| 13–9 | 0.04 | 4% | 22 Apr → | ||
| 13–9 | -0.02 | 3% | 22 Apr → | ||
| 13–6 | -0.05 | 14% | 22 Apr → | ||
| 13–7 | 0.04 | 29% | 22 Apr → | ||
| 9–13 | 0.00 | 16% | 21 Apr → | ||
| 13–5 | 0.12 | 11% | 16 Apr → |
Match data via Leetify.