Murphy — CS2 Stats
76561198043148729[U:1:82883001]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 34.2% | 47.2% | 49.9% | 15.8% short |
| Shot accuracy | 13.3% | 12.7% | 13.4% | meets |
| Kill/death ratio | 1.27 | 1.09 | 1.12 | above |
| Match win rate | 45.4% | 46.6% | 48.4% | 3.0% short |
This profile matches the typical Red band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Red 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: +30pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 sh1ro 86% playstyle similarity
Most alike: positioning profile, 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
Strengths
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 65% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 24 | 15–9 | 63% | 0.04 | |
| A | 23 | 14–9 | 61% | 0.05 | |
| B | 18 | 9–9 | 50% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (50% over 18). 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.
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 11.3183% — 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 0.4403 — 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 38.6286% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.04 | 13% | 27 Aug → | ||
| 13–5 | -0.03 | 3% | 21 Aug → | ||
| 13–10 | -0.03 | 8% | 18 Aug → | ||
| 15–15 | -0.00 | 10% | 18 Aug → | ||
| 13–11 | 0.05 | 12% | 18 Aug → | ||
| 13–4 | 0.08 | 15% | 18 Aug → | ||
| 13–8 | 0.17 | 19% | 18 Aug → | ||
| 13–11 | -0.03 | 8% | 18 Aug → | ||
| 13–1 | 0.08 | 40% | 18 Aug → | ||
| 10–13 | -0.09 | 8% | 18 Aug → | ||
| 15–15 | 0.03 | 9% | 17 Aug → | ||
| 9–13 | 0.01 | 17% | 17 Aug → | ||
| 13–2 | -0.02 | 9% | 17 Aug → | ||
| 7–13 | -0.02 | 12% | 17 Aug → | ||
| 13–8 | 0.05 | 5% | 17 Aug → | ||
| 13–7 | 0.10 | 16% | 17 Aug → | ||
| 11–13 | 0.09 | 4% | 17 Aug → | ||
| 13–10 | -0.02 | 7% | 17 Aug → | ||
| 15–15 | 0.02 | 13% | 15 Aug → | ||
| 15–15 | -0.01 | 4% | 15 Aug → | ||
| 13–7 | 0.01 | 9% | 15 Aug → | ||
| 10–13 | -0.00 | 17% | 13 Aug → | ||
| 13–5 | 0.05 | 4% | 13 Aug → | ||
| 14–16 | -0.02 | 13% | 13 Aug → | ||
| 13–8 | 0.06 | 10% | 13 Aug → | ||
| 13–1 | 0.01 | 5% | 13 Aug → | ||
| 13–0 | 0.15 | 11% | 12 Aug → | ||
| 10–13 | 0.07 | 20% | 12 Aug → | ||
| 13–8 | 0.10 | 13% | 12 Aug → | ||
| 13–9 | 0.00 | 16% | 12 Aug → | ||
| 10–13 | 0.00 | 9% | 12 Aug → | ||
| 11–13 | 0.05 | 21% | 12 Aug → | ||
| 13–11 | 0.05 | 12% | 11 Aug → | ||
| 13–6 | -0.02 | 12% | 11 Aug → | ||
| 10–13 | 0.02 | 13% | 11 Aug → | ||
| 10–13 | 0.01 | 13% | 11 Aug → | ||
| 3–13 | 0.04 | 12% | 11 Aug → | ||
| 13–7 | -0.05 | 8% | 11 Aug → | ||
| 16–14 | 0.10 | 13% | 11 Aug → | ||
| 13–3 | 0.06 | 16% | 11 Aug → | ||
| 13–9 | 0.02 | 18% | 10 Aug → | ||
| 8–13 | 0.05 | 21% | 10 Aug → | ||
| 10–13 | -0.01 | 15% | 10 Aug → | ||
| 5–13 | -0.02 | 6% | 10 Aug → | ||
| 16–14 | 0.01 | 16% | 10 Aug → | ||
| 13–6 | 0.03 | 14% | 10 Aug → | ||
| 13–11 | -0.02 | 18% | 10 Aug → | ||
| 13–7 | 0.07 | 21% | 10 Aug → | ||
| 11–13 | -0.02 | 13% | 7 Aug → | ||
| 6–13 | -0.07 | 31% | 7 Aug → | ||
| 7–13 | -0.04 | 20% | 7 Aug → | ||
| 10–13 | 0.00 | 9% | 7 Aug → | ||
| 12–16 | 0.01 | 10% | 7 Aug → | ||
| 13–9 | 0.14 | 21% | 6 Aug → | ||
| 13–5 | 0.07 | 18% | 6 Aug → | ||
| 13–7 | 0.06 | 17% | 4 Aug → | ||
| 13–7 | 0.04 | 31% | 4 Aug → | ||
| 13–7 | 0.07 | 18% | 4 Aug → | ||
| 16–13 | 0.03 | 13% | 3 Aug → | ||
| 11–13 | 0.06 | 16% | 3 Aug → | ||
| 13–11 | 0.01 | 13% | 3 Aug → | ||
| 13–4 | 0.07 | 11% | 3 Aug → | ||
| 13–16 | 0.00 | 11% | 2 Aug → | ||
| 13–5 | 0.04 | 15% | 2 Aug → | ||
| 13–10 | 0.06 | 14% | 30 Jul → | ||
| 13–6 | 0.03 | 16% | 29 Jul → | ||
| 13–9 | 0.05 | 8% | 29 Jul → | ||
| 13–9 | 0.01 | 33% | 29 Jul → | ||
| 4–13 | -0.03 | 10% | 29 Jul → | ||
| 2–13 | 0.04 | 9% | 29 Jul → | ||
| 13–7 | 0.12 | 16% | 28 Jul → | ||
| 16–12 | 0.03 | 13% | 28 Jul → | ||
| 16–14 | 0.07 | 10% | 28 Jul → | ||
| 14–16 | 0.08 | 7% | 28 Jul → | ||
| 4–13 | -0.05 | 10% | 28 Jul → | ||
| 13–7 | 0.17 | 21% | 28 Jul → | ||
| 13–9 | 0.07 | 10% | 28 Jul → | ||
| 13–11 | 0.06 | 18% | 27 Jul → | ||
| 13–5 | 0.06 | 14% | 27 Jul → | ||
| 8–13 | 0.03 | 11% | 27 Jul → | ||
| 8–13 | -0.02 | 18% | 27 Jul → | ||
| 13–5 | 0.14 | 18% | 27 Jul → | ||
| 13–10 | 0.00 | 8% | 27 Jul → | ||
| 13–11 | 0.06 | 9% | 27 Jul → | ||
| 9–13 | -0.06 | 13% | 27 Jul → | ||
| 3–13 | 0.03 | 16% | 27 Jul → | ||
| 11–13 | 0.07 | 19% | 26 Jul → | ||
| 13–10 | -0.05 | 10% | 26 Jul → | ||
| 7–13 | 0.03 | 16% | 26 Jul → | ||
| 13–5 | 0.10 | 9% | 26 Jul → | ||
| 15–15 | 0.03 | 15% | 24 Jul → | ||
| 13–11 | 0.11 | 14% | 24 Jul → | ||
| 11–13 | -0.01 | 5% | 24 Jul → | ||
| 13–3 | 0.08 | 8% | 24 Jul → | ||
| 11–13 | 0.03 | 7% | 24 Jul → | ||
| 13–7 | 0.05 | 16% | 24 Jul → | ||
| 13–1 | 0.03 | 12% | 23 Jul → | ||
| 7–13 | 0.01 | 13% | 23 Jul → | ||
| 6–13 | -0.04 | 15% | 23 Jul → | ||
| 15–15 | 0.04 | 14% | 21 Jul → |
Match data via Leetify.