Dutch

Dutch — CS2 Stats

FI76561197966530994[U:1:6265266]Steam profile ↗✓ No bans

3,704Tracked matches59%Win rate2020Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating19,310Top 50% of 215,558 CSDB-tracked playersPurple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#96621 of 261648 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,310 +789 30 Aug – 14 Nov · 17 days played
16,78519,310peak 19,31030 Aug14 Nov
19,310Peak Premier in tracked matches
29Days played since 2026-08-30

Premier CS Rating

  • At peak — 19,310
  • +2,467 over 30 days · improving
  • +789 over 90 days
  • Next: Pink band at 20,000 — 690 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGDutchPREMIER19,310 · Purple bandcsdb.gg/stats

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Performance scores

Aim80
Positioning75
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateWWWWLLLWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −4.4pp headshot accuracy · −7ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 16%
  • Avg reaction 499ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 542ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 545ms

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: Positional Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim8.0
Utility5.2
Positioning7.5
Opening Duels4.8
Clutch3.8

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

m0NESY

Plays most like m0NESY 85% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

T openings. 68% T opening-duel success — entries that actually open the round.

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

Aim8.0
Positioning7.5
Utility5.2
Mechanics5.6
Opening Duels8.0
Win Impact7.9

Composite 7.1/10 (Strong), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time532ms−14ms
first ⅓ avg 545ms → last ⅓ avg 532ms
Headshot accuracy15.2%−2.8%
first ⅓ avg 18.0% → last ⅓ avg 15.2%

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

0.18Best match rating · 13–8 · mirage, 10 Oct →
36%Best headshot accuracy · 10–13 · dust2, 19 Oct →
383msFastest reaction time · 5–13 · office, 13 Nov →
13–2Biggest win · inferno, 13 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
7–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 83% over 6trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
officeB2111–1052%0.02
infernoA169–756%0.03
cacheC125–742%0.03
dust2C114–736%-0.01
mirageS96–367%0.00
nukeD92–722%0.02
anubisS65–183%0.02
trainD51–420%0.05
vertigoA53–260%0.03
ancient—40–40%-0.03
overpass—10–10%0.09
poseidon—11–0100%0.12

Across the last 100 tracked matches.

Faceit stats

Combat

657Matches
52%Win rate
1.08Avg K/D
84.1ADR
34%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3759%1.1515.2
Inferno3358%1.0714.3
Cache2770%1.3018.9
Anubis2438%1.0016.1
Nuke1560%0.8013.5
Vertigo1020%0.8214.5
Mirage850%0.9213.4
Dust260%0.8316.0

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.

15.8%Headshot accuracy
38.6%Accuracy (enemy spotted)
43.4%Spray accuracy
75.0%Counter-strafing
8.8°Preaim
534msReaction time
68.0%T opening success
56.4%CT opening success
0.65Enemies flashed / flash
3.3%Flash assists
10.45HE damage / grenade
5.84Flashes / match

Recommended for you

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
office13–60.066%15 Nov →
anubis13–90.0914%14 Nov →
mirage13–70.0022%14 Nov →
inferno13–50.0820%14 Nov →
ancient5–13-0.0120%13 Nov →
office5–130.037%13 Nov →
inferno7–13-0.0117%13 Nov →
anubis13–10-0.035%13 Nov →
train6–130.0519%13 Nov →
anubis10–13-0.0811%13 Nov →
inferno13–20.1631%13 Nov →
inferno13–50.1111%13 Nov →
anubis13–80.0517%13 Nov →
nuke8–80.0010%13 Nov →
inferno13–7-0.0319%10 Nov →
mirage16–13-0.0113%10 Nov →
office11–130.0434%9 Nov →
office13–70.0417%6 Nov →
mirage10–13-0.0915%6 Nov →
cache8–13-0.0117%6 Nov →
mirage13–110.0821%6 Nov →
dust211–130.076%5 Nov →
inferno12–120.0618%5 Nov →
vertigo9–60.065%5 Nov →
cache7–130.0023%5 Nov →
nuke5–13-0.0810%5 Nov →
cache13–90.0026%5 Nov →
nuke13–10-0.0112%5 Nov →
dust27–130.0715%4 Nov →
inferno4–9-0.019%4 Nov →
dust213–5-0.0013%4 Nov →
cache13–50.0316%4 Nov →
mirage13–10-0.054%31 Oct →
office8–130.0013%31 Oct →
office13–40.0429%30 Oct →
overpass5–130.099%30 Oct →
office13–3-0.0114%29 Oct →
office12–120.029%28 Oct →
office13–11-0.0222%28 Oct →
inferno9–50.0029%28 Oct →
office13–7-0.0032%27 Oct →
mirage10–13-0.0318%27 Oct →
inferno13–80.0413%27 Oct →
nuke10–130.1214%27 Oct →
office13–80.0716%23 Oct →
cache12–120.0710%23 Oct →
dust26–13-0.098%23 Oct →
cache8–130.0618%23 Oct →
cache4–130.0127%21 Oct →
dust210–13-0.0026%21 Oct →
cache9–130.004%21 Oct →
cache13–30.0816%21 Oct →
anubis13–70.1214%21 Oct →
nuke4–90.0122%20 Oct →
inferno15–150.0217%20 Oct →
poseidon9–30.1224%19 Oct →
office13–60.0811%19 Oct →
dust210–13-0.0536%19 Oct →
mirage10–1-0.040%19 Oct →
cache13–110.0722%19 Oct →
mirage11–130.0017%15 Oct →
ancient11–13-0.0311%13 Oct →
dust211–13-0.098%13 Oct →
mirage13–80.1811%10 Oct →
inferno13–110.024%10 Oct →
anubis3–4-0.0513%10 Oct →
vertigo10–13-0.0115%10 Oct →
train10–13-0.025%10 Oct →
train10–130.0221%10 Oct →
office6–13-0.0729%10 Oct →
train13–50.1615%9 Oct →
train9–130.0310%9 Oct →
office13–10-0.0416%9 Oct →
inferno9–30.1515%1 Oct →
dust213–9-0.035%1 Oct →
office10–130.0526%1 Oct →
nuke9–13-0.058%28 Sept →
dust211–130.0429%28 Sept →
dust213–110.0116%27 Sept →
nuke12–120.0612%27 Sept →
ancient1–13-0.0320%27 Sept →
office9–13-0.0236%27 Sept →
vertigo13–80.0016%27 Sept →
vertigo13–30.0515%27 Sept →
cache7–20.0532%23 Sept →
dust213–5-0.0317%23 Sept →
inferno13–70.0210%22 Sept →
inferno9–130.007%22 Sept →
office5–130.0124%22 Sept →
office6–13-0.0016%20 Sept →
inferno8–130.0021%19 Sept →
nuke5–130.0413%19 Sept →
office13–60.0132%19 Sept →
cache3–13-0.0531%19 Sept →
inferno1–13-0.0720%19 Sept →
ancient9–13-0.068%19 Sept →
office13–40.035%18 Sept →
vertigo8–130.0420%18 Sept →
office5–130.0429%18 Sept →
nuke13–110.0713%18 Sept →

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 →

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