Nort — CS2 Stats
76561198866139561[U:1:905873833]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.02 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 b1t 87% playstyle similarity
Most alike: utility contribution, opening-duel success.
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 57% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 618ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 70% 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 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| C | 41 | 15–26 | 37% | -0.01 | |
| C | 14 | 5–9 | 36% | -0.00 | |
| D | 12 | 4–8 | 33% | 0.01 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| D | 6 | 1–5 | 17% | -0.02 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 116 | 59% | 1.20 | 16.7 |
| Dust2 | 42 | 52% | 0.96 | 15.6 |
| Ancient | 28 | 50% | 0.93 | 13.8 |
| Anubis | 24 | 54% | 1.06 | 16.3 |
| Nuke | 21 | 57% | 1.15 | 16.6 |
| Inferno | 15 | 53% | 1.05 | 14.4 |
| Overpass | 14 | 21% | 0.91 | 12.8 |
| Train | 1 | 100% | 4.67 | 28.0 |
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.
- 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 26.3013% — 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.
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 | |
|---|---|---|---|---|---|
| 13–11 | -0.04 | 15% | 27 Aug → | ||
| 11–13 | -0.00 | 25% | 23 Aug → | ||
| 13–10 | 0.10 | 33% | 11 Aug → | ||
| 13–9 | 0.03 | 17% | 9 Aug → | ||
| 7–13 | -0.04 | 14% | 6 Aug → | ||
| 11–13 | -0.04 | 14% | 6 Aug → | ||
| 13–11 | -0.02 | 28% | 6 Aug → | ||
| 7–13 | 0.04 | 16% | 6 Aug → | ||
| 11–13 | -0.02 | 20% | 6 Aug → | ||
| 13–11 | 0.08 | 29% | 5 Aug → | ||
| 13–5 | -0.02 | 20% | 4 Aug → | ||
| 6–13 | -0.02 | 12% | 4 Aug → | ||
| 11–13 | -0.02 | 17% | 4 Aug → | ||
| 13–9 | -0.06 | 9% | 4 Aug → | ||
| 11–13 | -0.03 | 16% | 4 Aug → | ||
| 13–11 | 0.00 | 27% | 3 Aug → | ||
| 3–13 | -0.02 | 23% | 3 Aug → | ||
| 13–6 | 0.08 | 15% | 3 Aug → | ||
| 8–13 | -0.05 | 18% | 3 Aug → | ||
| 13–10 | -0.00 | 18% | 2 Aug → | ||
| 15–19 | -0.03 | 13% | 2 Aug → | ||
| 3–13 | -0.06 | 36% | 2 Aug → | ||
| 11–13 | -0.04 | 11% | 2 Aug → | ||
| 10–13 | 0.01 | 24% | 31 Jul → | ||
| 11–13 | 0.02 | 26% | 29 Jul → | ||
| 6–13 | -0.02 | 26% | 29 Jul → | ||
| 13–7 | 0.09 | 27% | 29 Jul → | ||
| 14–16 | -0.05 | 35% | 29 Jul → | ||
| 16–13 | -0.03 | 27% | 29 Jul → | ||
| 13–16 | -0.03 | 17% | 28 Jul → | ||
| 13–5 | -0.00 | 23% | 28 Jul → | ||
| 8–13 | -0.01 | 16% | 28 Jul → | ||
| 5–13 | -0.04 | 19% | 28 Jul → | ||
| 13–9 | -0.04 | 11% | 28 Jul → | ||
| 13–3 | -0.04 | 27% | 28 Jul → | ||
| 11–13 | 0.03 | 12% | 23 Jul → | ||
| 13–5 | 0.04 | 48% | 22 Jul → | ||
| 13–2 | 0.03 | 25% | 22 Jul → | ||
| 9–13 | -0.02 | 24% | 22 Jul → | ||
| 11–13 | -0.08 | 18% | 21 Jul → | ||
| 4–13 | -0.07 | 19% | 21 Jul → | ||
| 13–3 | -0.02 | 14% | 12 Jul → | ||
| 16–19 | 0.03 | 15% | 12 Jul → | ||
| 11–13 | -0.04 | 4% | 12 Jul → | ||
| 5–13 | 0.03 | 41% | 22 Apr → | ||
| 13–4 | 0.07 | 28% | 30 Mar → | ||
| 13–1 | 0.13 | 27% | 27 Mar → | ||
| 4–8 | 0.02 | 29% | 19 Mar → | ||
| 7–13 | -0.06 | 30% | 16 Mar → | ||
| 16–14 | 0.02 | 16% | 15 Mar → | ||
| 8–13 | -0.00 | 36% | 13 Mar → | ||
| 2–13 | -0.06 | 19% | 13 Mar → | ||
| 13–16 | -0.06 | 12% | 12 Mar → | ||
| 13–9 | -0.01 | 15% | 10 Mar → | ||
| 11–13 | -0.08 | 29% | 9 Mar → | ||
| 4–13 | -0.06 | 19% | 8 Mar → | ||
| 13–10 | -0.01 | 27% | 6 Mar → | ||
| 13–10 | 0.06 | 21% | 4 Mar → | ||
| 8–13 | -0.07 | 21% | 2 Mar → | ||
| 6–13 | -0.02 | 15% | 28 Feb → | ||
| 6–13 | 0.08 | 43% | 28 Feb → | ||
| 5–13 | 0.01 | 36% | 27 Feb → | ||
| 15–19 | 0.02 | 27% | 25 Feb → | ||
| 9–13 | 0.04 | 28% | 23 Feb → | ||
| 5–13 | -0.05 | 23% | 21 Feb → | ||
| 7–13 | -0.02 | 34% | 16 Feb → | ||
| 9–13 | 0.07 | 17% | 16 Feb → | ||
| 12–16 | 0.02 | 38% | 15 Feb → | ||
| 13–11 | 0.05 | 29% | 15 Feb → | ||
| 13–10 | -0.01 | 20% | 14 Feb → | ||
| 3–13 | -0.07 | 38% | 13 Feb → | ||
| 13–3 | 0.04 | 13% | 12 Feb → | ||
| 10–13 | -0.02 | 21% | 12 Feb → | ||
| 4–13 | 0.04 | 32% | 12 Feb → | ||
| 16–14 | -0.00 | 18% | 9 Feb → | ||
| 13–1 | 0.04 | 38% | 9 Feb → | ||
| 19–16 | -0.02 | 36% | 6 Feb → | ||
| 13–7 | -0.05 | 10% | 1 Feb → | ||
| 8–13 | -0.03 | 13% | 30 Jan → | ||
| 11–13 | -0.02 | 20% | 28 Jan → | ||
| 4–13 | -0.07 | 0% | 25 Jan → | ||
| 13–7 | 0.15 | 24% | 25 Jan → | ||
| 1–13 | -0.12 | 0% | 25 Jan → | ||
| 11–13 | -0.01 | 19% | 24 Jan → | ||
| 16–12 | -0.03 | 32% | 23 Jan → | ||
| 9–13 | 0.01 | 21% | 23 Jan → | ||
| 9–13 | -0.05 | 0% | 23 Jan → | ||
| 13–10 | 0.00 | 18% | 18 Jan → | ||
| 13–1 | 0.02 | 29% | 18 Jan → | ||
| 13–5 | 0.00 | 35% | 18 Jan → | ||
| 13–5 | -0.02 | 35% | 11 Jan → | ||
| 4–13 | -0.06 | 33% | 9 Jan → | ||
| 22–20 | 0.09 | 15% | 9 Jan → | ||
| 4–13 | -0.07 | 15% | 7 Jan → | ||
| 13–16 | 0.03 | 22% | 7 Jan → | ||
| 3–13 | -0.06 | 30% | 7 Jan → | ||
| 11–13 | 0.02 | 27% | 7 Jan → | ||
| 11–13 | 0.01 | 28% | 7 Jan → | ||
| 7–13 | 0.01 | 25% | 7 Jan → | ||
| 13–7 | 0.12 | 20% | 6 Jan → |
Match data via Leetify.