Nifty Nilsen — CS2 Stats
76561198116227363[U:1:155961635]
Rating over time
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 49.3% | 52.8% |
| Shot accuracy | 19.9% | 13.7% |
| Kill/death ratio | 1.36 | 1.08 |
| Match win rate | 35.0% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependenceReliable in 1v1s
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 94% playstyle similarity
Most alike: opening-duel success, 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
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 11.7° off target when enemies appear — placement, not flicking, is the bigger win available.
Reaction time. 582ms 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 (×1.00 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 |
|---|---|---|---|---|---|
| A | 21 | 13–8 | 62% | 0.02 | |
| D | 18 | 5–13 | 28% | -0.01 | |
| B | 16 | 8–8 | 50% | -0.01 | |
| C | 9 | 4–5 | 44% | 0.00 | |
| S | 9 | 6–3 | 67% | 0.05 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| D | 7 | 2–5 | 29% | -0.02 | |
| D | 7 | 2–5 | 29% | -0.03 | |
| — | 4 | 3–1 | 75% | 0.05 | |
| office | — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Dust 2 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 48 | 50% | 0.98 | 16.8 |
| Ancient | 35 | 60% | 1.16 | 17.9 |
| Dust2 | 25 | 68% | 1.04 | 18.2 |
| Vertigo | 16 | 31% | 1.28 | 18.6 |
| Nuke | 15 | 67% | 1.26 | 18.4 |
| Cache | 15 | 80% | 1.34 | 16.7 |
| Inferno | 11 | 45% | 0.87 | 15.6 |
| Anubis | 10 | 70% | 1.14 | 17.9 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.6306 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.03 | 14% | 20 Aug → | ||
| 10–13 | -0.04 | 16% | 20 Aug → | ||
| 16–13 | -0.02 | 21% | 19 Aug → | ||
| 15–15 | 0.03 | 18% | 19 Aug → | ||
| 8–13 | -0.01 | 22% | 30 Jul → | ||
| 10–13 | -0.06 | 30% | 20 Jul → | ||
| 13–8 | 0.03 | 32% | 20 Jul → | ||
| 8–13 | -0.06 | 12% | 17 Jul → | ||
| 13–6 | 0.04 | 39% | 16 Jul → | ||
| 13–5 | 0.10 | 34% | 13 Jul → | ||
| 13–3 | -0.08 | 23% | 13 Jul → | ||
| 9–13 | 0.01 | 16% | 9 Jul → | ||
| 11–13 | 0.06 | 30% | 8 Jul → | ||
| 13–3 | 0.01 | 38% | 8 Jul → | ||
| 13–4 | 0.06 | 26% | 8 Jul → | ||
| 2–0 | -0.08 | 0% | 8 Jul → | ||
| 9–13 | -0.02 | 19% | 3 Jul → | ||
| 9–13 | -0.01 | 25% | 30 Jun → | ||
| 13–9 | -0.07 | 19% | 28 Jun → | ||
| 6–13 | 0.03 | 39% | 28 Jun → | ||
| 6–13 | 0.01 | 24% | 19 Jun → | ||
| 13–8 | -0.01 | 28% | 14 Jun → | ||
| 13–8 | -0.01 | 30% | 11 Jun → | ||
| 13–11 | 0.07 | 31% | 10 Jun → | ||
| 13–5 | 0.01 | 27% | 10 Jun → | ||
| 11–13 | 0.01 | 23% | 10 Jun → | ||
| 13–7 | 0.04 | 28% | 10 Jun → | ||
| 16–14 | 0.01 | 36% | 29 May → | ||
| 9–13 | -0.04 | 23% | 29 May → | ||
| 13–6 | 0.01 | 26% | 29 May → | ||
| 13–8 | 0.05 | 27% | 25 May → | ||
| 13–11 | -0.03 | 38% | 25 May → | ||
| 16–14 | -0.06 | 12% | 21 May → | ||
| 13–11 | -0.07 | 20% | 21 May → | ||
| 13–11 | 0.05 | 28% | 21 May → | ||
| 13–3 | -0.03 | 16% | 21 May → | ||
| 13–7 | 0.00 | 21% | 21 May → | ||
| 10–13 | 0.00 | 20% | 21 May → | ||
| 16–13 | 0.14 | 21% | 21 May → | ||
| 13–8 | 0.02 | 36% | 21 May → | ||
| 4–13 | -0.03 | 14% | 20 May → | ||
| 8–13 | 0.03 | 31% | 20 May → | ||
| 13–5 | -0.01 | 25% | 13 May → | ||
| 13–5 | 0.00 | 17% | 13 May → | ||
| 13–11 | 0.04 | 21% | 13 May → | ||
| 8–13 | 0.03 | 27% | 7 May → | ||
| 13–2 | 0.08 | 23% | 7 May → | ||
| 10–13 | -0.00 | 25% | 6 May → | ||
| 9–13 | -0.05 | 21% | 6 May → | ||
| 15–15 | -0.03 | 22% | 6 May → | ||
| 13–4 | 0.07 | 48% | 3 May → | ||
| 13–7 | 0.06 | 22% | 3 May → | ||
| 6–13 | 0.00 | 23% | 3 May → | ||
| 12–12 | -0.02 | 40% | 30 Apr → | ||
| 12–12 | -0.04 | 13% | 30 Apr → | ||
| 12–12 | -0.03 | 28% | 29 Apr → | ||
| 12–12 | -0.07 | 29% | 29 Apr → | ||
| 11–13 | -0.02 | 26% | 28 Apr → | ||
| 11–13 | -0.04 | 24% | 28 Apr → | ||
| 5–13 | -0.07 | 18% | 28 Apr → | ||
| 13–7 | 0.03 | 19% | 27 Apr → | ||
| 13–6 | 0.04 | 28% | 27 Apr → | ||
| 10–13 | 0.01 | 23% | 27 Apr → | ||
| 13–6 | 0.09 | 18% | 20 Apr → | ||
| 13–10 | 0.04 | 30% | 20 Apr → | ||
| 6–13 | -0.01 | 28% | 15 Apr → | ||
| 9–13 | -0.04 | 19% | 14 Apr → | ||
| 13–8 | 0.08 | 25% | 14 Apr → | ||
| 5–13 | -0.04 | 36% | 14 Apr → | ||
| 5–13 | -0.12 | 25% | 14 Apr → | ||
| 8–13 | -0.05 | 15% | 14 Apr → | ||
| 10–13 | -0.08 | 14% | 13 Apr → | ||
| 11–13 | -0.01 | 30% | 12 Apr → | ||
| 13–6 | -0.02 | 32% | 12 Apr → | ||
| 13–10 | -0.01 | 19% | 12 Apr → | ||
| 5–13 | -0.00 | 29% | 7 Apr → | ||
| 10–13 | 0.01 | 23% | 7 Apr → | ||
| 6–13 | 0.01 | 27% | 7 Apr → | ||
| office | 7–13 | -0.09 | 10% | 1 Apr → | |
| 13–7 | 0.13 | 28% | 1 Apr → | ||
| 4–13 | -0.06 | 19% | 31 Mar → | ||
| 3–13 | 0.01 | 25% | 31 Mar → | ||
| 10–13 | -0.04 | 11% | 28 Mar → | ||
| 13–9 | 0.06 | 11% | 28 Mar → | ||
| 13–11 | 0.02 | 16% | 26 Mar → | ||
| 6–13 | 0.07 | 23% | 26 Mar → | ||
| 10–13 | -0.05 | 26% | 25 Mar → | ||
| 8–2 | 0.06 | 10% | 25 Mar → | ||
| 10–13 | 0.01 | 21% | 25 Mar → | ||
| 5–13 | -0.02 | 26% | 25 Mar → | ||
| 3–13 | 0.04 | 23% | 25 Mar → | ||
| 13–6 | 0.09 | 23% | 24 Mar → | ||
| 7–13 | -0.05 | 10% | 23 Mar → | ||
| 2–13 | -0.09 | 29% | 23 Mar → | ||
| 13–3 | 0.07 | 35% | 22 Mar → | ||
| 12–12 | 0.01 | 22% | 22 Mar → | ||
| 12–12 | -0.01 | 31% | 22 Mar → | ||
| 13–4 | 0.11 | 31% | 22 Mar → | ||
| 13–3 | 0.05 | 10% | 22 Mar → | ||
| 13–8 | 0.04 | 26% | 22 Mar → |
Match data via Leetify.