MrProblem_TV — CS2 Stats
76561198115685152[U:1:155419424]✓ No bans
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 53.5% | 44.9% | 46.2% | above |
| Shot accuracy | 15.9% | 11.8% | 12.5% | above |
| Kill/death ratio | 1.05 | 1.04 | 1.06 | meets |
| Match win rate | 44.3% | 45.3% | 45.9% | 1.5% short |
This profile matches the typical Level 7 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafingStrong CT-side openerLimited 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 s1mple 85% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; 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 90 — the mechanical foundation is a clear strength.
CT openings. 73% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Positioning. Positioning trails aim by 33 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.
T-side openings. Opening success drops from 73% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 571ms 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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 42 | 24–18 | 57% | -0.00 | |
| B | 13 | 6–7 | 46% | 0.01 | |
| A | 13 | 8–5 | 62% | 0.01 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| C | 7 | 3–4 | 43% | -0.01 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 3 | 1–2 | 33% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 32 | 53% | 0.95 | 15.5 |
| Dust2 | 21 | 57% | 1.15 | 18.7 |
| Inferno | 12 | 58% | 1.06 | 17.8 |
| Mirage | 10 | 50% | 0.73 | 11.5 |
| Overpass | 10 | 70% | 1.55 | 15.1 |
| Nuke | 7 | 29% | 0.87 | 14.6 |
| Anubis | 7 | 57% | 0.84 | 15.3 |
| Vertigo | 2 | 50% | 1.12 | 22.0 |
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
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.2707 — below the 4 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 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.03 | 24% | 28 Aug → | ||
| 13–5 | 0.11 | 19% | 28 Aug → | ||
| 11–13 | -0.01 | 35% | 28 Aug → | ||
| 13–16 | -0.03 | 22% | 28 Aug → | ||
| 13–6 | -0.03 | 43% | 28 Aug → | ||
| 13–8 | 0.03 | 29% | 28 Aug → | ||
| 13–8 | -0.02 | 26% | 22 Aug → | ||
| 13–10 | 0.02 | 31% | 15 Aug → | ||
| 6–13 | 0.03 | 14% | 15 Aug → | ||
| 16–13 | 0.04 | 22% | 14 Aug → | ||
| 13–10 | 0.05 | 18% | 14 Aug → | ||
| 8–0 | 0.07 | 26% | 14 Aug → | ||
| 7–13 | -0.02 | 33% | 6 Aug → | ||
| 5–13 | -0.04 | 14% | 6 Aug → | ||
| 13–16 | -0.02 | 24% | 6 Aug → | ||
| 13–7 | -0.04 | 18% | 6 Aug → | ||
| 13–10 | 0.01 | 30% | 5 Aug → | ||
| 13–6 | -0.00 | 19% | 5 Aug → | ||
| 4–13 | -0.05 | 20% | 5 Aug → | ||
| 5–13 | -0.06 | 32% | 5 Aug → | ||
| 13–10 | 0.04 | 30% | 5 Aug → | ||
| 13–8 | 0.03 | 24% | 30 Jul → | ||
| 13–10 | 0.01 | 21% | 30 Jul → | ||
| 13–7 | 0.08 | 15% | 30 Jul → | ||
| 3–13 | -0.03 | 28% | 30 Jul → | ||
| 3–13 | -0.07 | 14% | 24 Jul → | ||
| 13–8 | -0.04 | 23% | 24 Jul → | ||
| 13–6 | 0.06 | 23% | 23 Jul → | ||
| 13–10 | 0.02 | 20% | 23 Jul → | ||
| 11–13 | 0.03 | 15% | 10 Jul → | ||
| 11–13 | 0.00 | 33% | 9 Jul → | ||
| 9–13 | 0.04 | 34% | 9 Jul → | ||
| 8–13 | -0.03 | 16% | 3 Jul → | ||
| 3–13 | 0.10 | 27% | 3 Jul → | ||
| 9–13 | 0.03 | 32% | 3 Jul → | ||
| 16–14 | 0.03 | 6% | 28 Jun → | ||
| 11–13 | -0.01 | 25% | 28 Jun → | ||
| 15–15 | 0.03 | 35% | 28 Jun → | ||
| 13–4 | -0.00 | 38% | 28 Jun → | ||
| 13–6 | -0.05 | 18% | 26 Jun → | ||
| 9–13 | 0.07 | 29% | 26 Jun → | ||
| 7–13 | -0.00 | 35% | 25 Jun → | ||
| 13–10 | 0.02 | 28% | 25 Jun → | ||
| 13–10 | 0.02 | 29% | 25 Jun → | ||
| 7–13 | 0.01 | 8% | 25 Jun → | ||
| 7–13 | -0.01 | 36% | 24 Jun → | ||
| 3–13 | -0.03 | 9% | 24 Jun → | ||
| 5–13 | 0.05 | 30% | 24 Jun → | ||
| 7–13 | -0.02 | 13% | 24 Jun → | ||
| 13–7 | 0.10 | 27% | 23 Jun → | ||
| 13–8 | -0.02 | 16% | 21 Jun → | ||
| 13–7 | 0.01 | 39% | 21 Jun → | ||
| 13–11 | -0.05 | 21% | 21 Jun → | ||
| 13–8 | 0.05 | 29% | 19 Jun → | ||
| 13–11 | -0.03 | 38% | 19 Jun → | ||
| 13–7 | -0.03 | 16% | 18 Jun → | ||
| 13–16 | 0.09 | 36% | 18 Jun → | ||
| 13–8 | 0.04 | 38% | 18 Jun → | ||
| 6–13 | 0.00 | 24% | 18 Jun → | ||
| 13–10 | -0.04 | 29% | 18 Jun → | ||
| 7–13 | -0.03 | 32% | 18 Jun → | ||
| 13–10 | 0.02 | 20% | 18 Jun → | ||
| 10–13 | -0.02 | 31% | 13 Jun → | ||
| 15–15 | -0.01 | 23% | 13 Jun → | ||
| 13–11 | -0.04 | 26% | 12 Jun → | ||
| 3–13 | -0.09 | 50% | 12 Jun → | ||
| 7–13 | -0.06 | 47% | 12 Jun → | ||
| 13–8 | -0.04 | 17% | 12 Jun → | ||
| 10–13 | 0.04 | 21% | 12 Jun → | ||
| 13–10 | -0.01 | 32% | 12 Jun → | ||
| 9–13 | 0.02 | 22% | 12 Jun → | ||
| 11–13 | 0.03 | 28% | 11 Jun → | ||
| 13–11 | -0.03 | 23% | 11 Jun → | ||
| 13–8 | -0.03 | 44% | 11 Jun → | ||
| 13–8 | 0.06 | 13% | 11 Jun → | ||
| 13–11 | -0.01 | 22% | 11 Jun → | ||
| 3–13 | -0.09 | 29% | 11 Jun → | ||
| 5–13 | 0.04 | 50% | 10 Jun → | ||
| 13–7 | -0.04 | 27% | 10 Jun → | ||
| 10–13 | 0.00 | 34% | 10 Jun → | ||
| 13–16 | -0.02 | 42% | 9 Jun → | ||
| 6–2 | 0.01 | 50% | 9 Jun → | ||
| 13–10 | 0.04 | 30% | 9 Jun → | ||
| 6–0 | -0.08 | 0% | 9 Jun → | ||
| 13–11 | -0.06 | 27% | 9 Jun → | ||
| 9–13 | -0.02 | 41% | 9 Jun → | ||
| 13–4 | 0.05 | 28% | 9 Jun → | ||
| 7–13 | 0.04 | 41% | 8 Jun → | ||
| 8–13 | -0.06 | 23% | 8 Jun → | ||
| 13–11 | 0.00 | 30% | 8 Jun → | ||
| 13–8 | -0.05 | 37% | 8 Jun → | ||
| 13–10 | 0.01 | 38% | 7 Jun → | ||
| 7–13 | -0.03 | 38% | 7 Jun → | ||
| 16–14 | 0.03 | 29% | 6 Jun → | ||
| 13–1 | 0.03 | 35% | 6 Jun → | ||
| 4–13 | -0.07 | 22% | 6 Jun → | ||
| 5–13 | -0.01 | 25% | 6 Jun → | ||
| 13–5 | -0.05 | 19% | 5 Jun → | ||
| 13–7 | 0.04 | 46% | 5 Jun → | ||
| 14–16 | -0.03 | 10% | 5 Jun → |
Match data via Leetify.