NickCageTheD1ckMage — CS2 Stats
76561198785716874[U:1:825451146]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim 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
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.
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 65% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 585ms 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 6.3/10 (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 99 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 | 31 | 16–15 | 52% | 0.02 | |
| A | 22 | 12–10 | 55% | 0.03 | |
| B | 11 | 5–6 | 45% | 0.04 | |
| C | 11 | 4–7 | 36% | 0.04 | |
| A | 9 | 5–4 | 56% | 0.03 | |
| S | 6 | 4–2 | 67% | 0.03 | |
| D | 6 | 1–5 | 17% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 1 | 0–1 | 0% | 0.06 |
Across the last 99 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.17 | 16% | 25 Aug → | ||
| 13–8 | -0.04 | 8% | 25 Aug → | ||
| 14–16 | 0.03 | 20% | 25 Aug → | ||
| 13–6 | 0.10 | 18% | 24 Aug → | ||
| 9–13 | 0.03 | 18% | 24 Aug → | ||
| 5–13 | 0.01 | 7% | 24 Aug → | ||
| 13–4 | 0.07 | 16% | 24 Aug → | ||
| 12–16 | 0.02 | 16% | 23 Aug → | ||
| 3–13 | 0.06 | 20% | 23 Aug → | ||
| 4–13 | 0.01 | 14% | 20 Aug → | ||
| 15–15 | -0.00 | 19% | 20 Aug → | ||
| 13–2 | 0.11 | 19% | 19 Aug → | ||
| 16–14 | 0.04 | 19% | 19 Aug → | ||
| 13–11 | 0.13 | 12% | 18 Aug → | ||
| 13–10 | 0.15 | 12% | 18 Aug → | ||
| 13–10 | 0.03 | 14% | 16 Aug → | ||
| 13–3 | 0.09 | 29% | 16 Aug → | ||
| 10–13 | -0.01 | 25% | 11 Aug → | ||
| 4–13 | -0.06 | 14% | 5 Aug → | ||
| 7–13 | 0.01 | 14% | 5 Aug → | ||
| 13–6 | 0.08 | 18% | 5 Aug → | ||
| 10–13 | 0.12 | 24% | 4 Aug → | ||
| 13–6 | 0.05 | 24% | 4 Aug → | ||
| 13–11 | 0.09 | 15% | 3 Aug → | ||
| 8–13 | 0.02 | 13% | 30 Jul → | ||
| 10–13 | 0.07 | 10% | 30 Jul → | ||
| 13–5 | 0.07 | 14% | 30 Jul → | ||
| 13–11 | 0.06 | 26% | 29 Jul → | ||
| 13–7 | -0.03 | 40% | 29 Jul → | ||
| 13–9 | 0.05 | 13% | 28 Jul → | ||
| 7–13 | 0.08 | 23% | 28 Jul → | ||
| 6–13 | -0.00 | 14% | 28 Jul → | ||
| 1–13 | -0.08 | 11% | 28 Jul → | ||
| 13–9 | 0.03 | 26% | 28 Jul → | ||
| 5–13 | 0.09 | 20% | 28 Jul → | ||
| 11–13 | -0.04 | 22% | 27 Jul → | ||
| 7–13 | -0.04 | 19% | 27 Jul → | ||
| 13–7 | -0.02 | 35% | 27 Jul → | ||
| 13–11 | 0.00 | 12% | 17 Jul → | ||
| 5–13 | 0.03 | 17% | 17 Jul → | ||
| 13–5 | 0.07 | 13% | 17 Jul → | ||
| 8–13 | 0.01 | 18% | 17 Jul → | ||
| 9–13 | -0.00 | 14% | 12 Jul → | ||
| 9–13 | -0.05 | 12% | 9 Jul → | ||
| 13–9 | 0.08 | 15% | 2 Jul → | ||
| 7–13 | 0.05 | 14% | 2 Jul → | ||
| 6–13 | -0.03 | 8% | 2 Jul → | ||
| 13–6 | 0.01 | 2% | 2 Jul → | ||
| 13–6 | -0.02 | 5% | 2 Jul → | ||
| 13–8 | -0.01 | 15% | 26 Jun → | ||
| 13–9 | 0.13 | 16% | 26 Jun → | ||
| 13–8 | 0.07 | 4% | 26 Jun → | ||
| 16–12 | 0.12 | 13% | 26 Jun → | ||
| 14–16 | 0.00 | 14% | 26 Jun → | ||
| 13–2 | 0.05 | 21% | 26 Jun → | ||
| 13–5 | -0.04 | 8% | 22 Jun → | ||
| 13–11 | 0.03 | 11% | 22 Jun → | ||
| 13–7 | 0.05 | 13% | 21 Jun → | ||
| 3–13 | -0.01 | 13% | 20 Jun → | ||
| 16–12 | 0.00 | 15% | 19 Jun → | ||
| 10–13 | -0.04 | 11% | 18 Jun → | ||
| 13–9 | -0.01 | 35% | 18 Jun → | ||
| 13–6 | 0.11 | 35% | 18 Jun → | ||
| 13–10 | -0.02 | 9% | 17 Jun → | ||
| 9–13 | 0.01 | 16% | 17 Jun → | ||
| 13–4 | 0.00 | 22% | 17 Jun → | ||
| 13–4 | -0.03 | 22% | 17 Jun → | ||
| 13–8 | 0.00 | 22% | 17 Jun → | ||
| 13–4 | -0.00 | 10% | 10 Jun → | ||
| 13–4 | 0.01 | 6% | 10 Jun → | ||
| 13–3 | 0.06 | 14% | 5 Jun → | ||
| 9–13 | -0.00 | 12% | 5 Jun → | ||
| 2–13 | -0.03 | 14% | 5 Jun → | ||
| 13–4 | -0.02 | 23% | 5 Jun → | ||
| 14–16 | 0.00 | 11% | 4 Jun → | ||
| 1–13 | -0.04 | 14% | 4 Jun → | ||
| 3–13 | 0.04 | 18% | 29 May → | ||
| 2–13 | -0.02 | 23% | 29 May → | ||
| 10–13 | 0.01 | 11% | 27 May → | ||
| 9–13 | -0.01 | 17% | 27 May → | ||
| 13–9 | 0.05 | 19% | 27 May → | ||
| 12–12 | 0.06 | 25% | 27 May → | ||
| 9–13 | 0.07 | 18% | 25 May → | ||
| 8–13 | 0.02 | 11% | 25 May → | ||
| 6–13 | -0.00 | 31% | 25 May → | ||
| 1–13 | -0.04 | 25% | 23 May → | ||
| 10–13 | -0.00 | 18% | 23 May → | ||
| 12–12 | 0.08 | 14% | 23 May → | ||
| 5–13 | -0.02 | 15% | 20 May → | ||
| 12–12 | 0.06 | 13% | 20 May → | ||
| 3–13 | 0.03 | 7% | 20 May → | ||
| 13–3 | 0.06 | 12% | 14 May → | ||
| 13–10 | 0.01 | 6% | 8 May → | ||
| 6–13 | 0.04 | 16% | 8 May → | ||
| 13–8 | 0.15 | 15% | 6 May → | ||
| 13–9 | 0.06 | 14% | 6 May → | ||
| 7–13 | -0.01 | 6% | 19 Apr → | ||
| 3–13 | -0.01 | 28% | 19 Apr → | ||
| 5–13 | 0.02 | 21% | 19 Apr → |
Match data via Leetify.