mtndewrag — CS2 Stats
76561199534169022[U:1:1573903294]Steam profile ↗
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 46.2% | 40.1% | 41.7% | above |
| Shot accuracy | 0.0% | 7.6% | 8.8% | 8.8% short |
| Kill/death ratio | 1.06 | 0.92 | 0.97 | above |
| Match win rate | 45.6% | 42.2% | 43.8% | above |
This profile matches the typical Blue band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Blue band 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: -40pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingStrong CT-side opener
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 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
T-side openings. Opening success drops from 54% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 665ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 13–11 | 54% | 0.03 | |
| S | 24 | 18–6 | 75% | 0.03 | |
| B | 22 | 10–12 | 45% | 0.01 | |
| A | 13 | 8–5 | 62% | 0.05 | |
| D | 9 | 3–6 | 33% | 0.03 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 9). 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.
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 12.874% — below the 15% mark we flag
- 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 0.497 — 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 33.8482% — 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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.03 | 15% | 15 May → | ||
| 6–13 | -0.01 | 12% | 14 May → | ||
| 13–6 | 0.05 | 12% | 14 May → | ||
| 6–13 | -0.07 | 27% | 14 May → | ||
| 7–13 | 0.10 | 17% | 14 May → | ||
| 1–13 | -0.07 | 9% | 13 May → | ||
| 13–7 | -0.06 | 25% | 13 May → | ||
| 13–16 | 0.03 | 17% | 13 May → | ||
| 16–14 | 0.00 | 11% | 12 May → | ||
| 5–13 | -0.07 | 19% | 11 May → | ||
| 13–6 | 0.01 | 17% | 9 May → | ||
| 4–12 | 0.04 | 6% | 3 May → | ||
| 16–13 | 0.06 | 18% | 3 May → | ||
| 13–4 | 0.12 | 9% | 2 May → | ||
| 13–1 | 0.12 | 6% | 2 May → | ||
| 6–13 | -0.05 | 0% | 2 May → | ||
| 13–9 | -0.03 | 9% | 2 May → | ||
| 13–5 | -0.02 | 7% | 27 Apr → | ||
| 13–7 | 0.04 | 13% | 26 Apr → | ||
| 13–16 | -0.02 | 9% | 24 Apr → | ||
| 8–13 | -0.02 | 6% | 24 Apr → | ||
| 13–6 | 0.11 | 17% | 23 Apr → | ||
| 13–2 | 0.07 | 6% | 23 Apr → | ||
| 11–13 | 0.04 | 16% | 22 Apr → | ||
| 5–13 | -0.03 | 0% | 22 Apr → | ||
| 13–5 | 0.07 | 22% | 22 Apr → | ||
| 11–13 | -0.03 | 13% | 21 Apr → | ||
| 11–13 | -0.01 | 12% | 19 Apr → | ||
| 13–11 | 0.04 | 11% | 19 Apr → | ||
| 13–11 | 0.03 | 14% | 19 Apr → | ||
| 11–13 | -0.05 | 6% | 19 Apr → | ||
| 6–13 | -0.05 | 9% | 19 Apr → | ||
| 13–5 | 0.06 | 21% | 18 Apr → | ||
| 13–5 | -0.01 | 8% | 18 Apr → | ||
| 10–13 | 0.02 | 17% | 17 Apr → | ||
| 13–8 | 0.08 | 11% | 17 Apr → | ||
| 13–5 | 0.04 | 12% | 17 Apr → | ||
| 13–10 | 0.13 | 11% | 16 Apr → | ||
| 13–5 | -0.04 | 17% | 16 Apr → | ||
| 16–12 | -0.03 | 12% | 15 Apr → | ||
| 13–6 | -0.04 | 6% | 14 Apr → | ||
| 7–13 | -0.02 | 33% | 14 Apr → | ||
| 13–9 | 0.12 | 9% | 14 Apr → | ||
| 13–6 | 0.10 | 6% | 14 Apr → | ||
| 13–10 | 0.01 | 17% | 14 Apr → | ||
| 13–9 | 0.03 | 11% | 13 Apr → | ||
| 3–13 | 0.07 | 18% | 13 Apr → | ||
| 13–2 | -0.00 | 13% | 13 Apr → | ||
| 13–11 | 0.15 | 8% | 12 Apr → | ||
| 11–13 | 0.00 | 6% | 12 Apr → | ||
| 10–13 | 0.02 | 25% | 12 Apr → | ||
| 13–1 | 0.01 | 13% | 12 Apr → | ||
| 13–4 | 0.04 | 19% | 12 Apr → | ||
| 11–13 | -0.02 | 11% | 12 Apr → | ||
| 6–13 | -0.01 | 20% | 12 Apr → | ||
| 13–5 | 0.03 | 17% | 11 Apr → | ||
| 4–13 | -0.03 | 14% | 11 Apr → | ||
| 13–11 | -0.02 | 16% | 10 Apr → | ||
| 13–8 | 0.03 | 15% | 10 Apr → | ||
| 13–6 | -0.01 | 15% | 10 Apr → | ||
| 8–13 | 0.05 | 11% | 9 Apr → | ||
| 13–11 | 0.11 | 14% | 9 Apr → | ||
| 15–15 | 0.03 | 14% | 9 Apr → | ||
| 13–4 | 0.15 | 18% | 9 Apr → | ||
| 13–9 | 0.01 | 18% | 8 Apr → | ||
| 10–13 | 0.07 | 19% | 8 Apr → | ||
| 13–2 | 0.05 | 17% | 8 Apr → | ||
| 13–5 | 0.06 | 16% | 8 Apr → | ||
| 13–8 | 0.09 | 18% | 7 Apr → | ||
| 13–11 | 0.09 | 12% | 6 Apr → | ||
| 2–13 | -0.00 | 27% | 6 Apr → | ||
| 13–8 | 0.05 | 18% | 5 Apr → | ||
| 13–5 | 0.20 | 18% | 5 Apr → | ||
| 8–13 | 0.04 | 25% | 5 Apr → | ||
| 8–13 | 0.08 | 15% | 5 Apr → | ||
| 13–7 | 0.06 | 11% | 5 Apr → | ||
| 11–13 | -0.03 | 9% | 5 Apr → | ||
| 13–4 | -0.04 | 29% | 5 Apr → | ||
| 8–13 | -0.01 | 13% | 4 Apr → | ||
| 2–13 | -0.02 | 17% | 4 Apr → | ||
| 16–12 | 0.05 | 20% | 4 Apr → | ||
| 13–11 | 0.03 | 15% | 3 Apr → | ||
| 4–13 | 0.07 | 20% | 2 Apr → | ||
| 16–14 | 0.08 | 11% | 2 Apr → | ||
| 6–13 | 0.05 | 20% | 1 Apr → | ||
| 13–1 | 0.12 | 12% | 29 Mar → | ||
| 13–9 | 0.05 | 11% | 22 Mar → | ||
| 13–7 | 0.14 | 14% | 22 Mar → | ||
| 4–13 | -0.03 | 29% | 21 Mar → | ||
| 13–1 | 0.02 | 13% | 17 Mar → | ||
| 3–13 | -0.05 | 16% | 8 Mar → | ||
| 13–7 | -0.00 | 8% | 28 Feb → | ||
| 13–7 | 0.05 | 12% | 27 Feb → | ||
| 6–13 | 0.07 | 15% | 22 Feb → | ||
| 6–13 | -0.06 | 8% | 22 Feb → | ||
| 10–13 | 0.01 | 12% | 22 Feb → | ||
| 13–4 | 0.09 | 9% | 22 Feb → | ||
| 8–13 | -0.01 | 13% | 21 Feb → | ||
| 11–13 | 0.02 | 14% | 21 Feb → | ||
| 6–13 | -0.02 | 21% | 21 Feb → |
Match data via Leetify.