Nyredolk

Nyredolk — CS2 Stats

ES76561197960841318[U:1:575590]Steam profile ↗

1,579Tracked matches23%Win rate2020Tracked since
2,548Hours in CS15Hrs last 2 wks
CSDB Rating3.0 Learning
Premier CS Rating11,089Blue band · top ~49.1% of ranked players (population est.)
CSDB Leaderboard#38275 of 54673 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 2 medianLevel 3 medianvs Level 3
Headshot rate39.3%41.2%42.2%2.9% short
Shot accuracy11.9%12.5%11.9%meets
Kill/death ratio0.790.960.980.19 short
Match win rate36.7%42.8%43.6%6.8% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNyredolkFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER11,089 · Blue bandcsdb.gg/stats

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Performance scores

Aim35
Positioning40
Utility51

0–100 skill scores via Leetify.

Recent form

COLD34642Last 10034%Win rateLLWWLLLLLL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Aim3.5
Aggression4.2
Utility5.1
Positioning4.0
Opening Duels0.1
Clutch0.0

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 73% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.5
Positioning4.0
Utility5.1
Mechanics3.7
Opening Duels0.2
Win Impact0.0

Composite 3.0/10 (Learning), 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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time638ms−50ms
first ⅓ avg 688ms → last ⅓ avg 638ms
Headshot accuracy12.1%+0.7%
first ⅓ avg 11.4% → last ⅓ avg 12.1%

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

0.06Best rating — nuke 13–0
130Biggest win — nuke
3Longest win streak
L2Current streak
109In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 50% over 10ancientWeakest map · 12% over 17
MapGradePlayedRecordWin rateAvg rating
infernoC26111542%-0.03
ancientD1721512%-0.06
nukeC1771041%-0.03
mirageC125742%-0.04
anubisD113827%-0.04
cacheB105550%-0.06
overpass41325%-0.04
dust23030%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (12% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,334Lifetime kills
0.79K/D
3,149Matches
36.7%Match win rate
39.3%Headshot %
11.9%Shot accuracy
4,521MVPs
1,502Hours (in match)
4,100Bombs planted
469Bombs defused

Most-used weapons

AK-478,135
AUG3,019
Negev2,847
AWP2,577
SG 5532,426
P901,511

Lifetime map wins

10,588inferno
6,230nuke
3,591vertigo
1,443dust2
882train
257cbble
80office
41dust

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

Faceit stats

Combat

15Matches
33%Win rate
0.56Avg K/D
51.1ADR
41%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

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.

12.3%Headshot accuracy
31.2%Accuracy (enemy spotted)
32.2%Spray accuracy
66.9%Counter-strafing
11.0°Preaim
629msReaction time
31.6%T opening success
29.2%CT opening success
0.50Enemies flashed / flash
2.2%Flash assists
9.91HE damage / grenade
7.47Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.2822% — below the 15% mark we flag

    Aim Training
  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 31.6023% — 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.

12% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0618%30 Aug
anubis9–13-0.0613%30 Aug
inferno13–8-0.0214%29 Aug
ancient13–100.0115%29 Aug
anubis5–13-0.0422%29 Aug
ancient6–13-0.0314%29 Aug
nuke2–13-0.073%27 Aug
nuke9–13-0.0410%27 Aug
inferno9–13-0.0311%25 Aug
inferno3–13-0.0515%25 Aug
anubis9–13-0.115%24 Aug
inferno9–13-0.0611%24 Aug
anubis10–13-0.028%22 Aug
ancient8–13-0.067%22 Aug
inferno13–110.028%22 Aug
nuke14–160.0018%22 Aug
ancient9–13-0.099%18 Aug
inferno13–10-0.0313%18 Aug
mirage7–130.0130%14 Aug
nuke10–13-0.0716%14 Aug
dust211–13-0.0417%14 Aug
nuke7–13-0.0516%13 Aug
anubis2–13-0.036%13 Aug
nuke16–130.019%12 Aug
nuke13–11-0.0212%10 Aug
anubis8–13-0.0419%10 Aug
ancient6–13-0.003%10 Aug
inferno13–9-0.036%9 Aug
ancient10–13-0.046%9 Aug
ancient10–13-0.0713%1 Aug
inferno15–15-0.0114%1 Aug
nuke5–13-0.1110%28 Jul
cache1–13-0.1210%28 Jul
inferno8–13-0.050%26 Jul
inferno13–4-0.0612%26 Jul
inferno7–13-0.059%25 Jul
ancient11–13-0.088%25 Jul
inferno13–110.0315%25 Jul
ancient6–13-0.1211%25 Jul
cache13–7-0.054%25 Jul
dust28–13-0.0310%25 Jul
inferno16–12-0.0614%25 Jul
inferno14–16-0.0213%23 Jul
cache3–13-0.1011%22 Jul
nuke13–10-0.0418%21 Jul
cache10–13-0.026%20 Jul
inferno2–13-0.0627%20 Jul
mirage13–70.0426%20 Jul
ancient4–13-0.0810%19 Jul
anubis13–100.0314%19 Jul
anubis4–13-0.024%19 Jul
cache13–10-0.0614%18 Jul
inferno13–10-0.0518%18 Jul
cache13–4-0.0213%18 Jul
mirage9–13-0.069%17 Jul
ancient5–13-0.0620%17 Jul
nuke13–20.0320%17 Jul
inferno13–20.0616%17 Jul
ancient4–13-0.1125%16 Jul
anubis13–6-0.0513%16 Jul
inferno15–15-0.0419%16 Jul
nuke2–130.0117%14 Jul
inferno5–130.0320%14 Jul
mirage14–16-0.0411%12 Jul
cache13–4-0.0814%12 Jul
ancient11–13-0.0711%11 Jul
mirage5–13-0.0812%11 Jul
inferno11–13-0.049%11 Jul
nuke6–13-0.046%11 Jul
nuke13–00.066%10 Jul
mirage5–13-0.095%10 Jul
cache13–7-0.063%10 Jul
cache6–13-0.048%8 Jul
inferno13–10-0.0511%8 Jul
mirage16–12-0.0311%4 Jul
mirage16–14-0.0222%4 Jul
overpass6–13-0.0619%4 Jul
overpass12–16-0.0215%2 Jul
mirage13–11-0.039%30 Jun
inferno11–13-0.1014%30 Jun
dust211–13-0.0419%28 Jun
overpass9–13-0.0411%28 Jun
nuke10–13-0.070%27 Jun
ancient13–50.0211%27 Jun
inferno9–13-0.0413%27 Jun
mirage10–13-0.0414%24 Jun
nuke13–11-0.0219%16 Jun
inferno13–11-0.027%16 Jun
anubis13–11-0.0830%15 Jun
inferno10–13-0.0418%15 Jun
mirage10–13-0.0417%14 Jun
overpass13–11-0.0410%13 Jun
ancient8–13-0.102%13 Jun
ancient5–13-0.038%10 Jun
inferno3–13-0.0113%10 Jun
nuke7–13-0.0618%8 Jun
anubis8–13-0.065%8 Jun
nuke13–8-0.056%2 Jun
cache6–13-0.056%18 May
mirage13–11-0.1211%12 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →