zartesNilpferd

zartesNilpferd — CS2 Stats

76561198321349162[U:1:361083434]Steam profile ↗✓ No bans

403Tracked matches56%Win rate2020Tracked since
729Hours in CS
CSDB Rating3.5 LearningSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 403 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 15 Sep 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 5,805 -2,741 15 Sept27 Oct · 28 days played
4,0898,962peak 8,96215 Sept27 Oct
8,962Peak Premier in tracked matches
41Days played since 2025-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,643), 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 rate37.7%41.3%41.9%4.1% short
Shot accuracy14.8%12.7%12.2%above
Kill/death ratio0.860.950.980.12 short
Match win rate41.4%42.5%43.3%1.9% 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.GGzartesNilpferdFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim28
Positioning40
Utility54

0–100 skill scores via Leetify.

Recent form

HOT42526Last 10042%Win rateWWLWWWWWLW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating · −6.0pp headshot accuracy · −81ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 602ms

Last 10

  • 82 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 616ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 656ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+2.7 against its own average).

Aim2.8
Utility5.4
Positioning4.0
Opening Duels1.4
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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 62% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 668ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim2.8
Positioning4.0
Utility5.4
Mechanics1.1
Opening Duels1.6
Win Impact6.9

Composite 3.5/10 (Learning), 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

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time691ms−17ms
first ⅓ avg 708ms → last ⅓ avg 691ms
Headshot accuracy17.9%+3.6%
first ⅓ avg 14.3% → last ⅓ avg 17.9%

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.

Personal bests

0.11Best match rating · 13–6 · inferno, 2 Oct
50%Best headshot accuracy · 3–13 · vertigo, 8 Apr
469msFastest reaction time · 13–9 · inferno, 21 Oct
13–0Biggest win · nuke, 3 Oct

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
97In matches decided by ≤2 rounds
16Overtime games

Map breakdown

shelterBest map · 80% over 5agencyWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeC2391439%-0.00
mirageA169756%-0.01
dust2D1331023%-0.03
ancientS128467%-0.01
infernoC104640%-0.01
shelterS54180%-0.03
agencyD51420%-0.06
trainD51420%0.02
cache32167%-0.02
vertigo2020%-0.05
overpass2020%-0.05
office2020%-0.08
alpine1010%-0.06
golden110100%-0.04

Across the last 100 tracked matches.

Lifetime stats

33,991Lifetime kills
0.86K/D
1,986Matches
41.4%Match win rate
37.7%Headshot %
14.8%Shot accuracy · Top 50% of Level 2 players
3,495MVPs
729Hours (in match)
1,370Bombs planted
290Bombs defused

Most-used weapons

Lifetime map wins

3,943dust2
1,411inferno
871nuke
412vertigo
389cbble
357train
286office
100lake

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

Faceit stats

Combat

56Matches
46%Win rate
0.78Avg K/D
68.9ADR
37%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno250%0.9616.0
Dust210%0.6911.0

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.

17.2%Headshot accuracy
30.2%Accuracy (enemy spotted)
34.9%Spray accuracy
54.7%Counter-strafing
11.6°Preaim
668msReaction time
24.3%T opening success
42.6%CT opening success
0.56Enemies flashed / flash
5.8%Flash assists
7.87HE damage / grenade
15.12Flashes / 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. 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 24.3381% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage16–14-0.0414%25 Aug
dust216–14-0.0310%20 Aug
nuke14–160.009%20 Aug
shelter13–6-0.0019%18 Aug
shelter13–4-0.0538%18 Aug
shelter13–4-0.027%17 Aug
cache13–11-0.0319%16 Aug
cache13–80.0310%16 Aug
vertigo10–13-0.0120%4 Aug
shelter13–80.0113%4 Aug
shelter11–13-0.0710%3 Aug
cache1–13-0.0433%27 Jul
dust212–12-0.0221%26 Jul
vertigo3–13-0.0950%8 Apr
alpine4–13-0.0621%1 Apr
dust213–16-0.0413%25 Feb
ancient13–10.0523%27 Oct
dust213–60.0217%27 Oct
mirage13–40.0613%27 Oct
nuke3–13-0.0616%27 Oct
mirage15–15-0.0323%26 Oct
nuke15–150.0317%26 Oct
nuke9–13-0.0022%26 Oct
agency3–13-0.0927%26 Oct
mirage13–9-0.0418%26 Oct
dust29–13-0.0217%24 Oct
nuke13–20.0816%24 Oct
ancient4–13-0.068%24 Oct
nuke13–5-0.0116%24 Oct
ancient13–8-0.015%23 Oct
nuke13–4-0.0016%23 Oct
nuke10–13-0.0918%21 Oct
mirage13–40.0513%21 Oct
inferno13–90.0114%21 Oct
mirage16–130.0012%20 Oct
train13–70.0116%16 Oct
mirage13–60.0623%16 Oct
dust212–16-0.009%16 Oct
inferno13–11-0.0122%16 Oct
nuke10–13-0.068%15 Oct
ancient13–110.0014%15 Oct
inferno6–13-0.0216%15 Oct
dust213–160.0216%14 Oct
inferno8–13-0.0223%14 Oct
overpass4–13-0.0715%14 Oct
ancient10–13-0.0311%13 Oct
dust211–13-0.059%13 Oct
ancient11–130.0326%13 Oct
overpass14–16-0.0418%12 Oct
mirage6–130.0220%12 Oct
nuke10–13-0.1113%10 Oct
office9–13-0.0415%10 Oct
golden13–2-0.0423%10 Oct
ancient13–110.0510%9 Oct
inferno12–16-0.0111%9 Oct
mirage5–130.0516%9 Oct
ancient13–60.019%8 Oct
agency13–7-0.038%7 Oct
mirage10–13-0.0211%7 Oct
office8–13-0.1317%6 Oct
nuke13–80.0314%6 Oct
nuke13–160.0914%3 Oct
nuke13–00.0611%3 Oct
nuke6–13-0.0214%2 Oct
nuke8–130.0417%2 Oct
inferno13–60.1110%2 Oct
train6–130.0112%2 Oct
train10–130.049%2 Oct
mirage13–7-0.018%2 Oct
nuke14–16-0.039%1 Oct
nuke13–60.0217%1 Oct
train10–130.0517%30 Sept
nuke12–12-0.085%30 Sept
inferno15–15-0.068%30 Sept
agency11–13-0.049%28 Sept
mirage13–90.0515%28 Sept
agency4–13-0.0721%26 Sept
inferno13–9-0.0513%25 Sept
dust29–13-0.0628%25 Sept
agency12–12-0.0623%22 Sept
nuke8–130.0114%22 Sept
dust29–13-0.0119%22 Sept
ancient9–13-0.0812%21 Sept
mirage8–13-0.138%21 Sept
inferno9–130.0014%21 Sept
nuke13–90.0715%19 Sept
nuke6–13-0.0224%18 Sept
ancient16–14-0.0018%18 Sept
ancient13–7-0.025%18 Sept
dust26–13-0.068%18 Sept
dust25–13-0.1128%18 Sept
nuke13–11-0.0218%17 Sept
mirage5–13-0.0511%17 Sept
nuke16–140.0315%17 Sept
mirage13–6-0.0517%17 Sept
train6–13-0.0312%17 Sept
inferno6–13-0.0710%15 Sept
dust213–7-0.035%15 Sept
ancient13–10-0.0419%15 Sept
mirage3–13-0.0617%15 Sept

Match data via Leetify.

Recent teammates

Milestones

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