Groschi -iwnw- — CS2 Stats
76561198118942305[U:1:158676577]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 1,658
- Next: Level 9 at 1,751 — 93 to go
- Reached: Level 8 · Level 7 · Level 6 · Level 5
- Level 8 first seen 2026-08-30
- Level 7 first seen 2026-08-30
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 87% playstyle similarity
Most alike: utility contribution, 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
Reaction time. 654ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 20 | 7–13 | 35% | 0.01 | |
| C | 19 | 8–11 | 42% | 0.01 | |
| B | 15 | 7–8 | 47% | 0.01 | |
| D | 12 | 4–8 | 33% | -0.01 | |
| S | 12 | 9–3 | 75% | 0.02 | |
| C | 9 | 4–5 | 44% | -0.00 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 2 | 1–1 | 50% | -0.04 | |
| — | 1 | 1–0 | 100% | -0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 58 | 55% | 1.08 | 15.4 |
| Inferno | 29 | 48% | 1.15 | 17.1 |
| Dust2 | 25 | 64% | 1.16 | 15.8 |
| Anubis | 13 | 38% | 1.00 | 17.4 |
| Vertigo | 11 | 55% | 0.78 | 14.6 |
| Overpass | 11 | 55% | 1.11 | 14.1 |
| Ancient | 2 | 0% | 0.94 | 16.0 |
| Nuke | 2 | 0% | 0.76 | 12.0 |
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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.02 | 19% | 12 Aug → | ||
| 13–2 | 0.11 | 16% | 18 Jul → | ||
| 13–4 | 0.09 | 17% | 17 Jul → | ||
| 13–7 | 0.06 | 27% | 17 Jul → | ||
| 12–12 | -0.01 | 30% | 1 Jul → | ||
| 13–9 | -0.06 | 18% | 29 Jun → | ||
| 12–12 | 0.03 | 22% | 15 Jun → | ||
| 9–13 | 0.09 | 20% | 15 Jun → | ||
| 13–10 | -0.01 | 16% | 15 Jun → | ||
| 13–9 | 0.04 | 33% | 14 Jun → | ||
| 8–13 | 0.01 | 14% | 14 Jun → | ||
| 6–13 | 0.01 | 33% | 14 Jun → | ||
| 13–6 | -0.02 | 10% | 12 Jun → | ||
| 13–7 | 0.07 | 21% | 10 Jun → | ||
| 4–13 | -0.02 | 29% | 10 Jun → | ||
| 13–7 | 0.10 | 27% | 2 Jun → | ||
| 5–13 | 0.01 | 24% | 22 May → | ||
| 13–7 | 0.14 | 28% | 22 May → | ||
| 8–13 | -0.02 | 21% | 15 May → | ||
| 13–11 | 0.01 | 17% | 15 May → | ||
| 13–10 | 0.06 | 24% | 10 May → | ||
| 13–10 | 0.05 | 24% | 22 Apr → | ||
| 13–8 | -0.05 | 19% | 20 Apr → | ||
| 16–12 | 0.07 | 23% | 20 Apr → | ||
| 13–6 | 0.05 | 28% | 17 Apr → | ||
| 13–5 | 0.06 | 45% | 10 Apr → | ||
| 9–13 | -0.00 | 29% | 20 Mar → | ||
| 5–13 | -0.07 | 22% | 20 Mar → | ||
| 5–13 | -0.01 | 26% | 20 Mar → | ||
| 8–13 | 0.01 | 14% | 19 Mar → | ||
| 4–13 | -0.01 | 21% | 19 Mar → | ||
| 11–13 | -0.10 | 18% | 19 Mar → | ||
| 2–13 | -0.06 | 13% | 16 Mar → | ||
| 7–13 | -0.00 | 31% | 14 Mar → | ||
| 13–6 | 0.09 | 27% | 14 Mar → | ||
| 7–13 | 0.08 | 29% | 11 Mar → | ||
| 4–13 | -0.07 | 27% | 19 Feb → | ||
| 7–13 | 0.11 | 28% | 18 Feb → | ||
| 2–13 | -0.04 | 33% | 16 Feb → | ||
| 11–13 | -0.02 | 36% | 31 Jan → | ||
| 13–8 | 0.01 | 32% | 31 Jan → | ||
| 5–13 | 0.00 | 25% | 31 Jan → | ||
| 16–14 | -0.04 | 21% | 15 Jan → | ||
| 7–13 | 0.01 | 20% | 14 Jan → | ||
| 13–9 | 0.06 | 22% | 14 Jan → | ||
| 10–13 | -0.01 | 18% | 20 Dec → | ||
| 13–9 | -0.02 | 39% | 20 Dec → | ||
| 8–13 | -0.04 | 19% | 19 Dec → | ||
| 8–13 | -0.09 | 21% | 18 Dec → | ||
| 13–6 | 0.03 | 34% | 17 Dec → | ||
| 13–3 | 0.05 | 29% | 17 Dec → | ||
| 13–10 | 0.06 | 19% | 12 Dec → | ||
| 3–13 | -0.08 | 42% | 12 Dec → | ||
| 15–15 | 0.02 | 23% | 5 Dec → | ||
| 9–13 | -0.07 | 28% | 5 Dec → | ||
| 13–8 | 0.05 | 30% | 28 Nov → | ||
| 8–13 | -0.04 | 24% | 28 Nov → | ||
| 16–13 | -0.03 | 15% | 21 Nov → | ||
| 10–13 | 0.04 | 14% | 21 Nov → | ||
| 6–1 | 0.19 | 24% | 21 Nov → | ||
| 16–12 | 0.04 | 21% | 17 Nov → | ||
| 6–13 | 0.01 | 21% | 17 Nov → | ||
| 13–16 | 0.03 | 27% | 17 Nov → | ||
| 6–13 | 0.04 | 38% | 17 Nov → | ||
| 13–7 | -0.04 | 29% | 17 Nov → | ||
| 0–3 | 0.06 | 75% | 17 Nov → | ||
| 6–13 | -0.00 | 18% | 17 Nov → | ||
| 4–13 | -0.04 | 19% | 17 Nov → | ||
| 12–12 | 0.03 | 14% | 3 Nov → | ||
| 13–5 | 0.02 | 39% | 11 Oct → | ||
| 10–13 | -0.07 | 24% | 10 Oct → | ||
| 3–0 | 0.16 | 38% | 10 Oct → | ||
| 15–15 | -0.02 | 15% | 4 Oct → | ||
| 9–13 | -0.00 | 31% | 25 Sept → | ||
| 10–13 | -0.03 | 29% | 24 Sept → | ||
| 13–8 | 0.04 | 23% | 24 Sept → | ||
| 13–8 | -0.01 | 19% | 14 Sept → | ||
| 13–10 | -0.02 | 23% | 13 Sept → | ||
| 13–11 | -0.07 | 29% | 13 Sept → | ||
| 11–13 | -0.06 | 39% | 13 Sept → | ||
| 10–13 | 0.01 | 35% | 28 Jul → | ||
| 13–11 | 0.01 | 24% | 20 Jul → | ||
| 12–16 | -0.04 | 13% | 17 Jul → | ||
| 13–11 | -0.03 | 22% | 17 Jul → | ||
| 13–6 | -0.01 | 12% | 17 Jul → | ||
| 11–13 | -0.03 | 24% | 13 Jul → | ||
| 4–13 | 0.00 | 21% | 10 Jul → | ||
| 13–8 | 0.06 | 22% | 10 Jul → | ||
| 7–13 | -0.02 | 18% | 8 Jul → | ||
| 13–10 | -0.02 | 24% | 6 Jul → | ||
| 13–7 | 0.02 | 26% | 20 Jun → | ||
| 13–5 | 0.02 | 35% | 20 Jun → | ||
| 13–9 | -0.05 | 29% | 20 Jun → | ||
| 6–13 | -0.08 | 11% | 20 Jun → | ||
| 13–7 | -0.07 | 24% | 16 Jun → | ||
| 13–8 | 0.07 | 34% | 16 Jun → | ||
| 10–13 | -0.02 | 21% | 16 Jun → | ||
| 13–6 | 0.07 | 14% | 16 Jun → | ||
| 7–13 | 0.01 | 35% | 16 Jun → | ||
| 10–13 | -0.08 | 10% | 16 Jun → |
Match data via Leetify.