dephh — CS2 Stats
PRO“rory”M80United KingdomCoachSettings & gear profile →
GB76561197987260907[U:1:26995179]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 22,564
- Next: Red band at 25,000 — 2,436 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-29
- Purple band first seen 2026-08-29
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 · -0.04 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Sharp aimerStrong 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 Twistzz 86% playstyle similarity
Most alike: utility contribution, aim profile.
Where you differ: lower opening-duel success; lower opening-fight frequency.
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 91 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 47% on CT to 13% 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 7.4/10 (Strong), 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 |
|---|---|---|---|---|---|
| S | 26 | 20–6 | 77% | 0.01 | |
| A | 22 | 14–8 | 64% | 0.01 | |
| S | 13 | 11–2 | 85% | 0.02 | |
| A | 13 | 8–5 | 62% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.03 | |
| S | 8 | 7–1 | 88% | 0.01 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| — | 3 | 2–1 | 67% | -0.04 | |
| — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 51 | 59% | 1.16 | 17.0 |
| Mirage | 46 | 59% | 1.09 | 14.0 |
| Ancient | 44 | 64% | 1.14 | 15.5 |
| Vertigo | 32 | 47% | 1.16 | 17.9 |
| Inferno | 27 | 63% | 1.46 | 19.6 |
| Overpass | 18 | 67% | 1.18 | 15.7 |
| Dust2 | 17 | 71% | 0.76 | 13.3 |
| Nuke | 8 | 88% | 1.29 | 16.1 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 13.0289% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.10 | 21% | 14 Feb → | ||
| 13–11 | -0.04 | 8% | 13 Feb → | ||
| 16–14 | -0.03 | 15% | 13 Feb → | ||
| 13–7 | 0.00 | 36% | 12 Feb → | ||
| 13–3 | 0.01 | 24% | 10 Feb → | ||
| 13–11 | 0.00 | 0% | 20 Apr → | ||
| 13–2 | 0.00 | 0% | 20 Apr → | ||
| 13–5 | -0.02 | 22% | 6 Apr → | ||
| 13–11 | 0.02 | 31% | 6 Apr → | ||
| 11–13 | -0.04 | 20% | 5 Apr → | ||
| 10–13 | -0.03 | 28% | 2 Apr → | ||
| 16–12 | 0.04 | 39% | 1 Apr → | ||
| 13–9 | 0.04 | 32% | 4 Mar → | ||
| 13–8 | 0.06 | 21% | 4 Mar → | ||
| 13–1 | -0.00 | 20% | 3 Mar → | ||
| 13–8 | -0.05 | 29% | 3 Mar → | ||
| 13–9 | 0.06 | 40% | 3 Mar → | ||
| 13–3 | 0.02 | 17% | 3 Mar → | ||
| 13–3 | 0.05 | 14% | 2 Mar → | ||
| 13–3 | 0.03 | 41% | 2 Mar → | ||
| 13–2 | 0.04 | 32% | 2 Mar → | ||
| 13–0 | -0.04 | 80% | 2 Mar → | ||
| 13–5 | 0.07 | 25% | 1 Mar → | ||
| 13–5 | -0.02 | 22% | 1 Mar → | ||
| 9–13 | -0.04 | 30% | 1 Mar → | ||
| 13–9 | 0.02 | 19% | 29 Feb → | ||
| 13–3 | 0.06 | 29% | 29 Feb → | ||
| 13–1 | 0.03 | 21% | 29 Feb → | ||
| 13–8 | 0.07 | 29% | 29 Feb → | ||
| 13–6 | 0.03 | 40% | 29 Feb → | ||
| 13–7 | 0.18 | 22% | 20 Feb → | ||
| 13–8 | 0.07 | 28% | 10 Feb → | ||
| 13–4 | 0.01 | 23% | 9 Feb → | ||
| 4–13 | 0.00 | 31% | 9 Feb → | ||
| 3–13 | -0.03 | 44% | 8 Feb → | ||
| 16–13 | 0.07 | 28% | 8 Feb → | ||
| 25–23 | -0.01 | 34% | 8 Feb → | ||
| 16–14 | 0.01 | 19% | 7 Feb → | ||
| 13–2 | 0.02 | 23% | 7 Feb → | ||
| 5–6 | -0.04 | 29% | 7 Feb → | ||
| 9–13 | 0.03 | 25% | 6 Feb → | ||
| 10–13 | -0.04 | 18% | 5 Feb → | ||
| 13–11 | 0.06 | 33% | 5 Feb → | ||
| 7–13 | 0.03 | 23% | 2 Feb → | ||
| 13–5 | 0.04 | 27% | 1 Feb → | ||
| 10–13 | -0.04 | 22% | 1 Feb → | ||
| 13–9 | 0.03 | 35% | 31 Jan → | ||
| 6–13 | -0.06 | 21% | 31 Jan → | ||
| 9–13 | -0.06 | 23% | 31 Jan → | ||
| 9–13 | 0.10 | 28% | 30 Jan → | ||
| 13–5 | -0.02 | 29% | 30 Jan → | ||
| 13–5 | 0.03 | 37% | 30 Jan → | ||
| 13–3 | -0.03 | 23% | 30 Jan → | ||
| 13–8 | -0.03 | 23% | 29 Jan → | ||
| 13–4 | 0.02 | 23% | 29 Jan → | ||
| 16–14 | -0.02 | 28% | 29 Jan → | ||
| 13–10 | -0.00 | 19% | 29 Jan → | ||
| 13–10 | -0.05 | 21% | 28 Jan → | ||
| 13–3 | 0.09 | 43% | 28 Jan → | ||
| 13–0 | 0.06 | 29% | 28 Jan → | ||
| 4–13 | -0.09 | 25% | 27 Jan → | ||
| 13–7 | 0.01 | 47% | 26 Jan → | ||
| 13–11 | 0.08 | 27% | 26 Jan → | ||
| 17–19 | 0.02 | 21% | 14 Nov → | ||
| 13–3 | 0.02 | 33% | 14 Nov → | ||
| 13–5 | 0.01 | 40% | 14 Nov → | ||
| 13–1 | 0.02 | 39% | 14 Nov → | ||
| 13–2 | 0.04 | 37% | 13 Nov → | ||
| 13–11 | -0.03 | 31% | 12 Nov → | ||
| 13–10 | 0.05 | 32% | 11 Nov → | ||
| 5–13 | 0.02 | 20% | 11 Nov → | ||
| 13–7 | 0.10 | 37% | 10 Nov → | ||
| 11–0 | 0.15 | 22% | 10 Nov → | ||
| 9–13 | -0.09 | 24% | 10 Nov → | ||
| 13–8 | 0.08 | 29% | 10 Nov → | ||
| 13–1 | 0.11 | 40% | 10 Nov → | ||
| 1–13 | -0.12 | 22% | 10 Nov → | ||
| 11–13 | 0.00 | 31% | 10 Nov → | ||
| 13–7 | 0.08 | 38% | 9 Nov → | ||
| 13–10 | -0.04 | 18% | 9 Nov → | ||
| 1–13 | -0.06 | 40% | 8 Nov → | ||
| 8–13 | 0.09 | 28% | 7 Nov → | ||
| 11–13 | 0.11 | 35% | 7 Nov → | ||
| 8–13 | 0.00 | 46% | 7 Nov → | ||
| 13–7 | 0.02 | 41% | 6 Nov → | ||
| 13–11 | -0.06 | 41% | 5 Nov → | ||
| 13–3 | 0.08 | 25% | 4 Nov → | ||
| 13–8 | -0.02 | 50% | 1 Nov → | ||
| 5–13 | 0.01 | 42% | 1 Nov → | ||
| 13–16 | 0.01 | 27% | 31 Oct → | ||
| 11–13 | 0.03 | 27% | 31 Oct → | ||
| 13–9 | -0.08 | 30% | 31 Oct → | ||
| 13–3 | 0.04 | 26% | 31 Oct → | ||
| 5–13 | -0.08 | 26% | 31 Oct → | ||
| 13–10 | -0.00 | 33% | 31 Oct → | ||
| 6–13 | -0.12 | 20% | 30 Oct → | ||
| 13–5 | 0.07 | 41% | 30 Oct → | ||
| 10–13 | -0.01 | 28% | 30 Oct → | ||
| 13–8 | 0.04 | 36% | 30 Oct → | ||
| 13–6 | 0.02 | 35% | 29 Oct → |
Match data via Leetify.