NilsKristian — CS2 Stats
76561198019771120[U:1:59505392]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 94% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning 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
Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 48% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 566ms 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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
 dust2 | A | 28 | 16–12 | 57% | 0.01 |
 ancient | A | 18 | 10–8 | 56% | 0.02 |
 mirage | A | 18 | 11–7 | 61% | 0.01 |
 inferno | C | 14 | 6–8 | 43% | -0.01 |
 nuke | D | 9 | 3–6 | 33% | 0.00 |
 anubis | D | 8 | 1–7 | 13% | -0.01 |
 cache | — | 3 | 2–1 | 67% | -0.04 |
 vertigo | — | 1 | 1–0 | 100% | 0.10 |
 overpass | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 3 | 0% | 0.92 | 15.7 |
| Ancient | 3 | 33% | 1.12 | 15.0 |
| Cache | 2 | 100% | 2.76 | 21.5 |
| Anubis | 1 | 0% | 1.33 | 20.0 |
| Inferno | 1 | 100% | 1.24 | 26.0 |
| Nuke | 1 | 100% | 1.08 | 14.0 |
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 24.4655% — 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–6 | 0.01 | 20% | 26 Aug → | |
| ancient | 4–13 | -0.06 | 13% | 25 Aug → | |
| nuke | 13–16 | -0.04 | 10% | 25 Aug → | |
| anubis | 2–13 | -0.06 | 9% | 25 Aug → | |
| dust2 | 13–8 | 0.00 | 17% | 24 Aug → | |
| dust2 | 13–8 | 0.02 | 24% | 24 Aug → | |
| mirage | 8–13 | -0.02 | 10% | 22 Aug → | |
| anubis | 7–13 | 0.01 | 13% | 22 Aug → | |
| dust2 | 6–13 | -0.04 | 21% | 21 Aug → | |
| anubis | 15–15 | -0.00 | 9% | 21 Aug → | |
| dust2 | 7–2 | 0.00 | 38% | 21 Aug → | |
| dust2 | 13–4 | 0.08 | 16% | 21 Aug → | |
| vertigo | 9–3 | 0.10 | 15% | 21 Aug → | |
| dust2 | 10–13 | -0.03 | 11% | 21 Aug → | |
| mirage | 13–11 | -0.01 | 28% | 20 Aug → | |
| ancient | 13–10 | 0.05 | 9% | 18 Aug → | |
| mirage | 13–4 | 0.11 | 24% | 18 Aug → | |
| mirage | 13–8 | -0.01 | 15% | 16 Aug → | |
| inferno | 0–3 | -0.08 | 0% | 16 Aug → | |
| dust2 | 9–13 | -0.02 | 23% | 16 Aug → | |
| nuke | 12–16 | -0.01 | 26% | 15 Aug → | |
| inferno | 13–9 | -0.03 | 0% | 15 Aug → | |
| ancient | 15–15 | -0.05 | 11% | 13 Aug → | |
| cache | 13–8 | -0.08 | 18% | 12 Aug → | |
| mirage | 10–13 | -0.03 | 16% | 12 Aug → | |
| dust2 | 9–13 | 0.02 | 14% | 12 Aug → | |
| nuke | 13–11 | 0.00 | 20% | 12 Aug → | |
| mirage | 10–13 | -0.03 | 18% | 12 Aug → | |
| ancient | 5–13 | 0.05 | 19% | 12 Aug → | |
| dust2 | 13–10 | 0.00 | 15% | 11 Aug → | |
| inferno | 6–13 | -0.03 | 11% | 11 Aug → | |
| dust2 | 13–10 | -0.07 | 21% | 9 Aug → | |
| dust2 | 16–14 | 0.04 | 19% | 9 Aug → | |
| dust2 | 7–13 | -0.05 | 35% | 9 Aug → | |
| dust2 | 13–5 | 0.04 | 17% | 9 Aug → | |
| ancient | 13–4 | 0.01 | 15% | 9 Aug → | |
| ancient | 9–13 | 0.03 | 29% | 9 Aug → | |
| inferno | 13–7 | 0.02 | 21% | 9 Aug → | |
| cache | 13–11 | -0.01 | 13% | 9 Aug → | |
| ancient | 13–11 | -0.04 | 22% | 8 Aug → | |
| inferno | 10–13 | 0.01 | 20% | 8 Aug → | |
| nuke | 6–13 | -0.07 | 20% | 7 Aug → | |
| mirage | 6–13 | -0.01 | 17% | 7 Aug → | |
| mirage | 13–3 | 0.08 | 15% | 20 Jul → | |
| mirage | 13–9 | 0.00 | 11% | 19 Jul → | |
| mirage | 13–2 | 0.01 | 30% | 18 Jul → | |
| inferno | 13–11 | 0.08 | 17% | 18 Jul → | |
| dust2 | 9–13 | -0.00 | 21% | 30 Jun → | |
| dust2 | 13–7 | -0.03 | 12% | 29 Jun → | |
| anubis | 9–13 | 0.05 | 11% | 29 Jun → | |
| inferno | 10–13 | -0.03 | 8% | 28 Jun → | |
| ancient | 2–1 | 0.30 | 25% | 28 Jun → | |
| mirage | 2–13 | -0.00 | 12% | 27 Jun → | |
| inferno | 13–7 | 0.06 | 11% | 27 Jun → | |
| anubis | 5–13 | -0.05 | 13% | 27 Jun → | |
| nuke | 13–8 | 0.04 | 13% | 22 Jun → | |
| inferno | 16–14 | -0.01 | 13% | 21 Jun → | |
| mirage | 8–13 | 0.05 | 14% | 21 Jun → | |
| mirage | 13–3 | 0.00 | 9% | 21 Jun → | |
| dust2 | 7–13 | 0.07 | 14% | 18 Jun → | |
| mirage | 11–13 | -0.04 | 24% | 18 Jun → | |
| dust2 | 5–13 | 0.02 | 11% | 14 Jun → | |
| inferno | 6–13 | -0.01 | 21% | 14 Jun → | |
| dust2 | 13–9 | -0.03 | 12% | 12 Jun → | |
| dust2 | 7–13 | -0.05 | 8% | 12 Jun → | |
| cache | 7–13 | -0.03 | 21% | 11 Jun → | |
| dust2 | 13–2 | 0.13 | 17% | 11 Jun → | |
| ancient | 13–6 | 0.01 | 17% | 11 Jun → | |
| dust2 | 13–7 | -0.01 | 20% | 10 Jun → | |
| ancient | 16–13 | 0.07 | 15% | 10 Jun → | |
| dust2 | 13–10 | 0.01 | 19% | 10 Jun → | |
| mirage | 13–8 | 0.06 | 12% | 10 Jun → | |
| mirage | 13–8 | -0.01 | 7% | 8 Jun → | |
| dust2 | 15–15 | 0.04 | 18% | 8 Jun → | |
| inferno | 0–13 | -0.05 | 11% | 8 Jun → | |
| ancient | 13–5 | 0.05 | 13% | 8 Jun → | |
| ancient | 10–13 | -0.02 | 16% | 7 Jun → | |
| dust2 | 13–8 | 0.01 | 11% | 7 Jun → | |
| mirage | 13–2 | 0.09 | 11% | 7 Jun → | |
| overpass | 7–13 | 0.03 | 21% | 7 Jun → | |
| mirage | 13–11 | -0.02 | 9% | 7 Jun → | |
| dust2 | 11–13 | -0.01 | 9% | 7 Jun → | |
| ancient | 14–16 | 0.01 | 12% | 3 Jun → | |
| inferno | 11–13 | 0.03 | 9% | 3 Jun → | |
| nuke | 9–13 | 0.00 | 22% | 2 Jun → | |
| ancient | 13–3 | -0.04 | 12% | 2 Jun → | |
| anubis | 13–5 | 0.02 | 4% | 31 May → | |
| dust2 | 13–7 | -0.04 | 30% | 31 May → | |
| dust2 | 0–4 | -0.01 | 50% | 31 May → | |
| nuke | 13–4 | 0.13 | 11% | 31 May → | |
| dust2 | 13–1 | 0.05 | 13% | 31 May → | |
| ancient | 13–10 | -0.02 | 13% | 31 May → | |
| anubis | 10–13 | -0.00 | 18% | 31 May → | |
| inferno | 5–13 | -0.05 | 6% | 31 May → | |
| ancient | 13–10 | 0.02 | 19% | 30 May → | |
| ancient | 3–13 | -0.03 | 23% | 30 May → | |
| anubis | 5–13 | -0.08 | 11% | 29 May → | |
| nuke | 13–16 | -0.04 | 3% | 29 May → | |
| inferno | 13–9 | 0.02 | 18% | 28 May → | |
| nuke | 2–13 | -0.00 | 23% | 28 May → |
Match data via Leetify.