diNzuur

diNzuur — CS2 Stats

76561198052862920[U:1:92597192]Steam profile ↗✓ No bans

1,480Tracked matches48%Win rate2020Tracked since
3,054Hours in CS4Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,819 → 1,819
+1Tracked matches · now 1,480
0.0ppWin rate · 48.3% → 48.3%
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. 52 days played since 21 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 22,431 +4,040 21 Feb19 Jun · 31 days played
18,39122,806peak 22,80621 Feb19 Jun
23,102Peak Premier in tracked matches
1,819Highest Faceit ELO seen on CSDB
52Days played since 2026-02-21

Faceit ELO

  • At peak — 1,819
  • Next: Level 10 at 2,001 182 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-19
  • Level 8 first seen 2026-09-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGdiNzuurPEAK ELO1,819csdb.gg/stats

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Performance scores

Aim50
Positioning56
Utility77

0–100 skill scores via Leetify.

Recent form

STEADY50482Last 10050%Win rateLWWWLLLLWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.4pp headshot accuracy · −40ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 547ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 543ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 563ms

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 (+2.6 against its own average).

Aim5.0
Utility7.7
Positioning5.6
Opening Duels2.9
Clutch4.2

Effective flashesHigh utility contribution

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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Reaction time. 584ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.0
Positioning5.6
Utility7.7
Mechanics4.0
Opening Duels2.5
Win Impact4.4

Composite 4.8/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time594ms−33ms
first ⅓ avg 626ms → last ⅓ avg 594ms
Headshot accuracy15.8%−1.7%
first ⅓ avg 17.5% → last ⅓ avg 15.8%

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.

Personal bests

0.15Best match rating · 13–4 · anubis, 12 May
33%Best headshot accuracy · 6–13 · inferno, 3 May
344msFastest reaction time · 6–13 · nuke, 28 Mar
13–1Biggest win · inferno, 5 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
109In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 85% over 13dust2Weakest map · 26% over 23
MapGradePlayedRecordWin rateAvg rating
dust2D2361726%-0.01
nukeA2011955%0.01
infernoB189950%-0.01
anubisS1311285%0.03
ancientA106460%0.00
mirageD62433%-0.01
overpassB63350%0.06
train21150%-0.02
sanctum110100%-0.05
vertigo1010%-0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (26% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,379Lifetime kills
1.01K/D · Top 50% of tracked players
3,250Matches
47.1%Match win rate · Top 50% of tracked players
38.4%Headshot %
12.8%Shot accuracy · Top 50% of tracked players
9,065MVPs
1,520Hours (in match)
3,466Bombs planted
1,167Bombs defused

Most-used weapons

AK-4718,115
AWP6,107
MAC-101,959
P2501,745
MP91,353
Knife1,320

Lifetime map wins

8,253inferno
5,072dust2
4,733nuke
1,585train
1,227cbble
397vertigo
65lake
57aztec

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

Faceit stats

Combat

1,262Matches
50%Win rate
0.99Avg K/D
75.0ADR
40%Headshot %

Clutches & streaks

41%1v1 clutch win
18%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno18049%1.0714.5
Nuke16061%1.0214.5
Dust214346%0.9314.7
Anubis12046%0.9815.1
Mirage5334%0.9013.8
Ancient4151%0.9813.9
Overpass3549%0.9415.5
Train1362%0.9615.3

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.

15.3%Headshot accuracy
32.6%Accuracy (enemy spotted)
36.4%Spray accuracy
67.9%Counter-strafing
11.1°Preaim
584msReaction time
36.8%T opening success
43.4%CT opening success
0.72Enemies flashed / flash
8.5%Flash assists
10.35HE damage / grenade
15.14Flashes / 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 36.8362% — below the 40% mark we flag

Spend your practice time on Dust 2

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

26% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.049%13 Sept
inferno13–5-0.0411%13 Sept
inferno13–20.0426%6 Sept
anubis13–11-0.0117%4 Sept
nuke2–13-0.1011%4 Sept
mirage11–13-0.0611%2 Sept
dust211–13-0.0521%30 Aug
nuke1–13-0.0915%30 Aug
nuke13–9-0.027%30 Aug
nuke13–110.0311%29 Aug
dust211–13-0.0812%29 Aug
inferno13–10.1119%5 Aug
ancient13–100.0416%19 Jun
inferno4–13-0.0523%19 Jun
inferno5–13-0.0511%12 Jun
ancient10–13-0.059%10 Jun
nuke13–100.0319%10 Jun
dust213–5-0.0410%10 Jun
dust215–15-0.0712%3 Jun
anubis10–13-0.0112%30 May
anubis13–80.0312%29 May
inferno11–130.0122%29 May
dust25–130.0214%29 May
anubis13–1-0.0122%28 May
inferno9–13-0.0520%28 May
ancient13–90.0919%27 May
anubis13–90.0418%27 May
dust213–11-0.0013%27 May
nuke9–130.0119%24 May
overpass10–130.0525%18 May
nuke11–130.0123%18 May
inferno13–30.0418%17 May
anubis13–40.1515%12 May
nuke6–130.0214%12 May
dust27–13-0.0022%10 May
overpass11–130.0613%7 May
dust28–130.006%5 May
ancient9–13-0.058%5 May
inferno13–110.0731%4 May
dust211–130.0324%4 May
nuke13–11-0.0118%4 May
nuke13–80.0222%3 May
inferno6–13-0.0833%3 May
ancient13–60.0112%1 May
nuke16–13-0.0313%30 Apr
mirage13–10.1025%29 Apr
mirage12–12-0.0810%29 Apr
anubis13–6-0.008%26 Apr
inferno13–80.0117%26 Apr
sanctum9–7-0.0510%26 Apr
inferno4–9-0.1123%26 Apr
train4–13-0.0215%22 Apr
train13–8-0.0222%22 Apr
vertigo3–9-0.1121%19 Apr
ancient16–140.0013%18 Apr
anubis13–11-0.0311%16 Apr
ancient8–13-0.0113%16 Apr
nuke13–90.0811%8 Apr
inferno5–13-0.0121%8 Apr
overpass13–80.1323%8 Apr
nuke13–40.0818%5 Apr
dust28–13-0.0114%5 Apr
dust28–13-0.0120%4 Apr
inferno13–5-0.0011%4 Apr
dust28–130.0816%4 Apr
anubis13–50.098%4 Apr
dust29–13-0.0113%3 Apr
nuke10–13-0.0725%3 Apr
mirage5–130.0014%3 Apr
nuke13–40.1221%31 Mar
inferno16–14-0.0213%28 Mar
ancient13–40.0411%28 Mar
dust26–13-0.0329%28 Mar
inferno11–13-0.0516%28 Mar
nuke6–13-0.0417%28 Mar
dust213–11-0.0215%23 Mar
dust213–70.0219%22 Mar
dust28–13-0.0019%22 Mar
inferno5–13-0.0913%20 Mar
ancient7–13-0.0716%20 Mar
dust27–13-0.0313%20 Mar
nuke4–13-0.0122%20 Mar
overpass13–50.0818%19 Mar
inferno13–80.0515%18 Mar
nuke13–5-0.0330%18 Mar
ancient13–50.0318%11 Mar
nuke13–70.1022%11 Mar
dust213–5-0.0414%9 Mar
dust213–50.0425%7 Mar
mirage5–130.0019%6 Mar
mirage13–8-0.0112%3 Mar
dust216–19-0.0419%1 Mar
anubis13–50.0512%1 Mar
dust211–13-0.0226%1 Mar
overpass7–130.009%27 Feb
anubis13–40.0818%27 Feb
overpass13–80.0319%25 Feb
anubis13–80.0715%25 Feb
dust212–160.0413%25 Feb
nuke3–130.0514%21 Feb

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 →