FMajster — CS2 Stats
SI76561198062998283[U:1:102732555]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Effective flashesHigh utility contribution
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 72% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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
Strengths
Utility. Utility score of 77 — grenade impact well above the norm.
Areas to improve
Reaction time. 597ms 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 4.4/10 (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 | 28 | 12–16 | 43% | -0.02 | |
| A | 26 | 15–11 | 58% | -0.02 | |
| A | 11 | 6–5 | 55% | -0.02 | |
| S | 10 | 7–3 | 70% | 0.01 | |
| S | 9 | 6–3 | 67% | -0.02 | |
| A | 8 | 5–3 | 63% | -0.00 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (43% over 28). Start with the 6 essential Ancient 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 86 | 56% | 0.85 | 12.2 |
| Ancient | 78 | 36% | 0.85 | 12.5 |
| Anubis | 77 | 58% | 0.80 | 11.9 |
| Dust2 | 59 | 39% | 0.77 | 11.8 |
| Overpass | 40 | 72% | 0.98 | 13.5 |
| Nuke | 23 | 43% | 0.80 | 11.4 |
| Train | 10 | 50% | 0.70 | 11.6 |
| Mirage | 4 | 25% | 0.58 | 8.3 |
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.
- 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 14.1875% — 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.
43% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.02 | 17% | 8 Aug → | ||
| 11–13 | -0.05 | 13% | 31 Jul → | ||
| 8–13 | -0.02 | 19% | 31 Jul → | ||
| 8–13 | 0.01 | 22% | 31 Jul → | ||
| 13–10 | 0.04 | 28% | 31 Jul → | ||
| 13–5 | 0.00 | 20% | 24 Jul → | ||
| 9–13 | -0.07 | 26% | 24 Jul → | ||
| 13–9 | 0.01 | 38% | 24 Jul → | ||
| 9–13 | -0.01 | 20% | 23 Jul → | ||
| 5–13 | -0.08 | 17% | 23 Jul → | ||
| 13–7 | 0.02 | 26% | 23 Jul → | ||
| 3–13 | -0.08 | 29% | 23 Jul → | ||
| 2–13 | -0.08 | 9% | 23 Jul → | ||
| 13–2 | 0.01 | 14% | 13 Jul → | ||
| 13–10 | -0.04 | 27% | 13 Jul → | ||
| 13–8 | -0.02 | 16% | 12 Jul → | ||
| 13–11 | -0.04 | 8% | 3 Jul → | ||
| 9–13 | -0.08 | 21% | 3 Jul → | ||
| 9–13 | -0.00 | 26% | 3 Jul → | ||
| 11–13 | -0.06 | 14% | 3 Jul → | ||
| 8–13 | -0.05 | 17% | 3 Jul → | ||
| 8–13 | -0.02 | 23% | 2 Jul → | ||
| 16–13 | -0.01 | 14% | 16 Jun → | ||
| 13–6 | -0.03 | 16% | 16 Jun → | ||
| 16–14 | 0.01 | 13% | 16 Jun → | ||
| 2–13 | -0.00 | 18% | 16 Jun → | ||
| 19–15 | -0.02 | 18% | 5 Jun → | ||
| 0–13 | -0.10 | 12% | 5 Jun → | ||
| 13–5 | 0.01 | 16% | 5 Jun → | ||
| 13–8 | -0.04 | 9% | 3 Jun → | ||
| 11–13 | -0.05 | 11% | 3 Jun → | ||
| 13–6 | -0.00 | 23% | 3 Jun → | ||
| 4–13 | -0.11 | 18% | 3 Jun → | ||
| 9–13 | 0.02 | 23% | 3 Jun → | ||
| 6–13 | -0.08 | 22% | 1 Jun → | ||
| 4–13 | -0.06 | 12% | 1 Jun → | ||
| 15–15 | -0.06 | 14% | 1 Jun → | ||
| 13–9 | 0.02 | 21% | 1 Jun → | ||
| 6–13 | -0.08 | 27% | 31 May → | ||
| 13–5 | 0.02 | 14% | 29 May → | ||
| 17–19 | -0.01 | 19% | 29 May → | ||
| 13–11 | 0.04 | 24% | 29 May → | ||
| 13–9 | 0.01 | 27% | 29 May → | ||
| 9–13 | -0.04 | 17% | 29 May → | ||
| 0–13 | -0.03 | 38% | 29 May → | ||
| 9–13 | -0.04 | 31% | 28 May → | ||
| 13–1 | 0.10 | 20% | 28 May → | ||
| 16–14 | -0.02 | 29% | 28 May → | ||
| 13–7 | -0.04 | 55% | 25 May → | ||
| 13–11 | -0.03 | 10% | 25 May → | ||
| 10–13 | -0.01 | 28% | 25 May → | ||
| 6–13 | -0.02 | 22% | 25 May → | ||
| 8–13 | -0.01 | 12% | 25 May → | ||
| 16–14 | -0.04 | 19% | 24 May → | ||
| 5–13 | 0.01 | 17% | 24 May → | ||
| 16–13 | -0.02 | 16% | 24 May → | ||
| 13–9 | -0.01 | 21% | 24 May → | ||
| 13–4 | 0.00 | 20% | 24 May → | ||
| 2–13 | -0.04 | 16% | 24 May → | ||
| 13–9 | -0.00 | 24% | 24 May → | ||
| 13–5 | -0.01 | 18% | 24 May → | ||
| 13–10 | 0.01 | 15% | 22 May → | ||
| 10–13 | -0.04 | 22% | 22 May → | ||
| 9–13 | -0.02 | 25% | 22 May → | ||
| 5–13 | 0.02 | 22% | 22 May → | ||
| 16–12 | 0.00 | 13% | 22 May → | ||
| 13–10 | 0.01 | 23% | 22 May → | ||
| 13–4 | 0.01 | 16% | 21 May → | ||
| 16–14 | -0.00 | 26% | 21 May → | ||
| 13–11 | -0.05 | 17% | 21 May → | ||
| 19–15 | 0.07 | 15% | 20 May → | ||
| 13–8 | 0.08 | 41% | 20 May → | ||
| 9–13 | -0.02 | 22% | 20 May → | ||
| 6–13 | -0.05 | 25% | 20 May → | ||
| 13–7 | -0.05 | 13% | 20 May → | ||
| 2–13 | -0.06 | 25% | 16 May → | ||
| 3–13 | -0.05 | 8% | 14 May → | ||
| 6–13 | -0.09 | 13% | 14 May → | ||
| 13–4 | 0.02 | 13% | 14 May → | ||
| 13–10 | 0.02 | 14% | 10 May → | ||
| 9–13 | -0.03 | 15% | 10 May → | ||
| 13–5 | -0.07 | 5% | 9 May → | ||
| 19–17 | -0.03 | 14% | 9 May → | ||
| 4–13 | -0.02 | 21% | 8 May → | ||
| 16–13 | -0.03 | 12% | 8 May → | ||
| 10–13 | -0.06 | 23% | 8 May → | ||
| 13–10 | 0.07 | 14% | 8 May → | ||
| 8–13 | -0.02 | 9% | 8 May → | ||
| 13–8 | 0.01 | 26% | 7 May → | ||
| 13–9 | 0.05 | 24% | 7 May → | ||
| 13–4 | 0.09 | 16% | 7 May → | ||
| 16–13 | -0.01 | 12% | 7 May → | ||
| 13–8 | 0.00 | 24% | 7 May → | ||
| 13–6 | 0.08 | 13% | 5 May → | ||
| 2–13 | -0.05 | 14% | 5 May → | ||
| 9–13 | -0.00 | 5% | 5 May → | ||
| 16–14 | 0.01 | 19% | 5 May → | ||
| 7–13 | -0.01 | 13% | 5 May → | ||
| 13–4 | 0.03 | 15% | 5 May → | ||
| 16–12 | -0.04 | 17% | 3 May → |
Match data via Leetify.