Dexter Morgan — CS2 Stats
US76561198170149378[U:1:209883650]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 13,616
- Next: Purple band at 15,000 — 1,384 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-28
- Light Blue band first seen 2026-08-28
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: +0pp win rate · -0.03 avg rating
Player DNA
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 80% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: higher 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
CT openings. 62% 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 62% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 615ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.2/10 (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 |
|---|---|---|---|---|---|
| A | 22 | 12–10 | 55% | -0.04 | |
| C | 21 | 9–12 | 43% | -0.00 | |
| B | 19 | 10–9 | 53% | 0.01 | |
| D | 17 | 5–12 | 29% | -0.01 | |
| C | 9 | 4–5 | 44% | -0.02 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 2 | 2–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 23 | 74% | 1.06 | 16.9 |
| Dust2 | 18 | 44% | 1.05 | 16.1 |
| Cache | 12 | 42% | 0.89 | 15.3 |
| Inferno | 10 | 40% | 0.82 | 15.1 |
| Nuke | 9 | 56% | 1.25 | 18.3 |
| Ancient | 4 | 50% | 0.64 | 9.8 |
| Anubis | 3 | 33% | 0.81 | 12.0 |
| Overpass | 3 | 33% | 1.06 | 19.0 |
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.
- 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 13.2553% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.6844 — below the 4 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 39.0747% — 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.
29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.01 | 5% | 23 Aug → | ||
| 13–7 | -0.05 | 6% | 23 Aug → | ||
| 13–11 | -0.07 | 19% | 20 Aug → | ||
| 13–5 | 0.05 | 0% | 20 Aug → | ||
| 10–13 | -0.05 | 10% | 20 Aug → | ||
| 13–10 | -0.02 | 13% | 19 Aug → | ||
| 6–13 | -0.06 | 15% | 19 Aug → | ||
| 4–13 | -0.04 | 19% | 14 Aug → | ||
| 13–6 | 0.00 | 12% | 13 Aug → | ||
| 9–13 | 0.00 | 9% | 9 Aug → | ||
| 13–11 | 0.08 | 22% | 9 Aug → | ||
| 4–13 | 0.03 | 21% | 9 Aug → | ||
| 13–11 | -0.01 | 20% | 7 Aug → | ||
| 13–6 | -0.00 | 11% | 5 Aug → | ||
| 13–11 | 0.05 | 15% | 4 Aug → | ||
| 16–14 | 0.00 | 9% | 4 Aug → | ||
| 9–13 | 0.02 | 19% | 3 Aug → | ||
| 12–16 | -0.09 | 8% | 3 Aug → | ||
| 9–13 | -0.01 | 8% | 3 Aug → | ||
| 11–13 | 0.02 | 10% | 1 Aug → | ||
| 13–8 | -0.04 | 6% | 31 Jul → | ||
| 13–8 | 0.01 | 19% | 31 Jul → | ||
| 8–13 | -0.08 | 18% | 31 Jul → | ||
| 13–8 | 0.01 | 16% | 31 Jul → | ||
| 13–6 | 0.16 | 9% | 31 Jul → | ||
| 6–13 | -0.00 | 9% | 30 Jul → | ||
| 14–16 | -0.06 | 9% | 30 Jul → | ||
| 9–13 | -0.07 | 15% | 30 Jul → | ||
| 13–8 | 0.02 | 33% | 30 Jul → | ||
| 13–8 | 0.01 | 17% | 29 Jul → | ||
| 7–13 | -0.08 | 6% | 29 Jul → | ||
| 13–11 | -0.01 | 9% | 29 Jul → | ||
| 13–16 | 0.03 | 7% | 29 Jul → | ||
| 2–13 | -0.01 | 20% | 29 Jul → | ||
| 13–10 | 0.06 | 11% | 28 Jul → | ||
| 13–5 | 0.12 | 9% | 28 Jul → | ||
| 11–13 | 0.03 | 17% | 24 Jul → | ||
| 5–13 | -0.10 | 15% | 22 Jul → | ||
| 13–7 | 0.04 | 15% | 21 Jul → | ||
| 13–10 | -0.00 | 15% | 21 Jul → | ||
| 2–13 | -0.03 | 40% | 21 Jul → | ||
| 8–13 | -0.06 | 7% | 21 Jul → | ||
| 7–13 | -0.03 | 6% | 21 Jul → | ||
| 10–13 | -0.03 | 21% | 20 Jul → | ||
| 13–4 | 0.05 | 15% | 20 Jul → | ||
| 13–11 | -0.00 | 15% | 20 Jul → | ||
| 13–10 | -0.07 | 11% | 16 Jul → | ||
| 13–2 | -0.07 | 0% | 16 Jul → | ||
| 5–13 | 0.03 | 20% | 16 Jul → | ||
| 9–13 | -0.03 | 15% | 16 Jul → | ||
| 10–13 | 0.01 | 12% | 16 Jul → | ||
| 11–13 | 0.02 | 21% | 15 Jul → | ||
| 13–11 | 0.03 | 18% | 13 Jul → | ||
| 4–13 | -0.07 | 10% | 13 Jul → | ||
| 13–4 | 0.02 | 19% | 12 Jul → | ||
| 13–2 | 0.05 | 16% | 12 Jul → | ||
| 7–13 | -0.00 | 10% | 12 Jul → | ||
| 13–10 | -0.05 | 25% | 12 Jul → | ||
| 7–13 | -0.02 | 12% | 12 Jul → | ||
| 13–10 | -0.02 | 11% | 11 Jul → | ||
| 13–2 | 0.03 | 18% | 11 Jul → | ||
| 13–8 | 0.02 | 10% | 11 Jul → | ||
| 10–13 | -0.06 | 8% | 11 Jul → | ||
| 9–13 | -0.04 | 13% | 11 Jul → | ||
| 13–9 | -0.02 | 20% | 11 Jul → | ||
| 9–13 | -0.03 | 14% | 10 Jul → | ||
| 13–3 | 0.06 | 26% | 10 Jul → | ||
| 7–13 | -0.04 | 15% | 9 Jul → | ||
| 9–13 | -0.03 | 9% | 9 Jul → | ||
| 4–13 | -0.08 | 18% | 9 Jul → | ||
| 13–11 | 0.03 | 13% | 9 Jul → | ||
| 7–9 | -0.01 | 10% | 8 Jul → | ||
| 3–9 | -0.09 | 13% | 8 Jul → | ||
| 2–9 | -0.27 | 6% | 8 Jul → | ||
| 10–13 | 0.03 | 18% | 6 Jul → | ||
| 13–3 | 0.16 | 22% | 6 Jul → | ||
| 13–7 | 0.04 | 11% | 6 Jul → | ||
| 9–13 | -0.02 | 13% | 6 Jul → | ||
| 4–9 | -0.18 | 11% | 6 Jul → | ||
| 5–9 | -0.09 | 42% | 6 Jul → | ||
| 12–16 | -0.02 | 5% | 5 Jul → | ||
| 11–13 | 0.02 | 22% | 5 Jul → | ||
| 13–2 | 0.02 | 31% | 5 Jul → | ||
| 13–11 | 0.01 | 13% | 3 Jul → | ||
| 13–4 | 0.08 | 9% | 3 Jul → | ||
| 10–13 | -0.02 | 11% | 2 Jul → | ||
| 13–6 | 0.06 | 11% | 2 Jul → | ||
| 15–15 | -0.01 | 8% | 1 Jul → | ||
| 3–13 | -0.07 | 13% | 1 Jul → | ||
| 13–9 | 0.02 | 4% | 30 Jun → | ||
| 11–13 | 0.06 | 13% | 30 Jun → | ||
| 11–13 | -0.05 | 9% | 28 Jun → | ||
| 5–13 | -0.04 | 10% | 28 Jun → | ||
| 7–13 | -0.03 | 7% | 28 Jun → | ||
| 13–7 | -0.02 | 9% | 28 Jun → | ||
| 13–9 | 0.00 | 17% | 28 Jun → | ||
| 6–13 | -0.02 | 16% | 27 Jun → | ||
| 9–13 | -0.05 | 18% | 27 Jun → | ||
| 13–9 | -0.02 | 10% | 27 Jun → | ||
| 9–4 | -0.08 | 18% | 27 Jun → |
Match data via Leetify.