Nightfell — CS2 Stats

76561198811817381[U:1:851551653]✓ No bans

818Tracked matches38%Win rate2023Tracked since
424Hours in CS
CSDB Rating4.1 DevelopingPassive Rifler
Premier CS Rating11,882Blue band · top ~44.9% of ranked players (population est.)
CSDB Leaderboard#19814 of 28186 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate51.0%42.5%44.2%above
Shot accuracy7.3%10.9%11.2%3.9% short
Kill/death ratio0.860.991.040.17 short
Match win rate42.8%44.2%45.3%2.5% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNightfellFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,882 · Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning47
Utility24

0–100 skill scores via Leetify.

Recent form

COLD48493Last 10048%Win rateWLWLLLWLLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.0
Aggression4.1
Utility2.4
Positioning4.7
Opening Duels0.9
Clutch2.4

Limited utility dependence

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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 619ms 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

Aim6.0
Positioning4.7
Utility2.4
Mechanics6.9
Opening Duels1.2
Win Impact1.0

Composite 4.1/10 (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

Match rating-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time621ms−60ms
first ⅓ avg 680ms → last ⅓ avg 621ms
Headshot accuracy18.8%+0.5%
first ⅓ avg 18.4% → last ⅓ avg 18.8%

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

0.11Best rating — anubis 13–3
131Biggest win — dust2
4Longest win streak
127In matches decided by ≤2 rounds
15Overtime games

Map breakdown

trainBest map · 60% over 5ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeB1991047%-0.03
anubisB178947%-0.03
mirageB179853%-0.04
dust2B178947%-0.03
ancientD1551033%-0.03
trainA53260%-0.02
inferno41325%-0.07
cache32167%-0.01
overpass220100%0.03
vertigo110100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,031Lifetime kills
0.86K/D
1,327Matches
42.8%Match win rate
51.0%Headshot % · Top 25% of Level 4 players
7.3%Shot accuracy
1,745MVPs
424Hours (in match)
1,327Bombs planted
160Bombs defused

Most-used weapons

Lifetime map wins

2,031nuke
1,492dust2
1,490vertigo
533inferno
204train
17italy
15lake
15safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

104Matches
49%Win rate
0.94Avg K/D
73.1ADR
49%Headshot %

Clutches & streaks

32%1v1 clutch win
18%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke1958%0.9514.9
Ancient1741%0.8914.3
Vertigo1656%1.2415.3
Dust21547%1.0313.9
Mirage1338%0.7913.6
Anubis1250%0.6814.1
Inferno956%0.9913.2
Train333%0.7512.0

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.

18.8%Headshot accuracy
31.1%Accuracy (enemy spotted)
32.4%Spray accuracy
81.1%Counter-strafing
9.8°Preaim
619msReaction time
28.1%T opening success
39.2%CT opening success
0.49Enemies flashed / flash
1.5%Flash assists
3.94HE damage / grenade
2.38Flashes / match

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.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4933 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 28.1436% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–30.1117%26 Aug
nuke11–13-0.0113%26 Aug
nuke16–14-0.0124%26 Aug
ancient12–16-0.0320%16 Aug
nuke9–13-0.0623%16 Aug
ancient8–13-0.0430%16 Aug
mirage13–90.0123%16 Aug
mirage8–13-0.0921%16 Aug
mirage2–6-0.0850%26 Jul
dust29–13-0.0823%26 Jul
ancient12–120.0124%26 Jul
anubis10–13-0.0517%25 Jul
nuke13–10-0.0818%25 Jul
dust26–13-0.0520%25 Jul
ancient13–100.037%25 Jul
dust213–6-0.0219%24 Jul
ancient13–10-0.0016%18 Jul
nuke9–13-0.0614%18 Jul
mirage13–4-0.0216%18 Jul
nuke2–12-0.0113%15 Jul
anubis6–13-0.0826%15 Jul
dust23–13-0.0416%15 Jul
cache13–90.0111%14 Jul
mirage13–2-0.0723%14 Jul
ancient8–13-0.0520%13 Jul
dust27–13-0.048%13 Jul
cache13–100.0323%13 Jul
cache7–13-0.0818%13 Jul
inferno7–13-0.0911%13 Jul
ancient5–13-0.0916%22 Oct
overpass13–50.0421%22 Oct
inferno13–6-0.086%19 Sept
ancient16–120.0215%19 Sept
dust215–15-0.0119%18 Sept
inferno3–13-0.0613%18 Sept
nuke13–9-0.025%1 Sept
ancient13–16-0.0524%28 Aug
ancient13–60.0020%28 Aug
mirage1–13-0.1020%10 Jul
nuke13–80.029%10 Jul
train6–13-0.076%4 Jul
overpass13–40.0216%29 Jun
vertigo13–4-0.046%29 Jun
anubis13–16-0.0918%27 Jun
dust213–9-0.0521%27 Jun
mirage13–10-0.018%27 Jun
nuke7–13-0.0630%23 Jun
mirage13–60.0137%23 Jun
anubis13–11-0.0223%23 Jun
nuke0–13-0.1043%23 Jun
anubis16–14-0.0316%22 Jun
dust213–10.0517%22 Jun
dust213–110.0118%21 Jun
nuke13–11-0.049%20 Jun
nuke6–13-0.0517%18 Jun
anubis2–13-0.077%18 Jun
nuke7–130.0013%14 Jun
anubis13–90.0417%14 Jun
nuke13–110.0223%14 Jun
anubis6–13-0.056%14 Jun
anubis7–13-0.048%9 Jun
dust23–13-0.0121%9 Jun
nuke6–13-0.0611%5 Jun
anubis13–4-0.104%5 Jun
nuke16–14-0.0111%31 May
dust213–5-0.0112%31 May
train10–13-0.0313%26 May
ancient4–13-0.058%26 May
ancient11–13-0.0315%26 May
ancient13–7-0.0214%26 May
mirage13–16-0.0314%21 May
anubis16–12-0.039%13 May
mirage14–16-0.0512%13 May
dust29–13-0.0522%8 May
mirage13–50.0122%8 May
train13–80.0133%6 May
anubis10–13-0.0320%17 Apr
train13–80.0219%17 Apr
nuke13–8-0.0224%17 Apr
dust25–13-0.087%14 Apr
anubis14–16-0.0810%13 Apr
dust211–13-0.0416%13 Apr
ancient10–13-0.0726%12 Apr
dust213–9-0.0418%12 Apr
ancient3–13-0.1021%12 Apr
mirage13–6-0.0813%10 Apr
train16–14-0.0427%10 Apr
mirage13–11-0.038%10 Apr
mirage11–13-0.0417%8 Apr
anubis13–80.0120%8 Apr
anubis16–140.0322%8 Apr
mirage11–13-0.0215%7 Apr
nuke7–130.0323%7 Apr
mirage15–15-0.0516%6 Apr
dust213–11-0.0319%6 Apr
mirage13–3-0.0120%6 Apr
anubis5–13-0.069%6 Apr
nuke13–7-0.0444%6 Apr
inferno7–13-0.0519%6 Apr
dust213–11-0.0426%6 Apr

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →