dutchmeistr — CS2 Stats

IN76561198313202185[U:1:352936457]Steam profile ↗✓ No bans

6,041Tracked matches52%Win rate2020Tracked since

7,163Hours in CS4Hrs last 2 wks

CSDB Rating5.8 SolidHybrid Rifler

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim69

Positioning61

Utility61

0–100 skill scores via Leetify.

Recent form

COLD51–46–3Last 10051%Win rateLLLLLLWWWL

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9

Aggression8.0

Utility6.1

Positioning6.1

Opening Duels4.2

Clutch4.0

Strong CT-side openerEffective flashes

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

Plays most like iM 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 55% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 624ms 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

Aim6.9

Positioning6.1

Utility6.1

Mechanics6.0

Opening Duels4.2

Win Impact5.6

Composite 5.8/10 (Solid), 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-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time651ms+18ms

first ⅓ avg 633ms → last ⅓ avg 651ms

Headshot accuracy28.8%+3.9%

first ⅓ avg 24.9% → last ⅓ avg 28.8%

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

0.10Best rating — mirage 13–6

13–3Biggest win — nuke

5Longest win streak

L6Current streak

10–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 83% over 6infernoWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	15–13	54%	-0.01
mirage	A	19	11–8	58%	0.00
inferno	D	15	3–12	20%	-0.01
ancient	B	13	7–6	54%	0.01
anubis	B	8	4–4	50%	0.00
nuke	S	6	5–1	83%	0.01
overpass	—	3	2–1	67%	0.02
vertigo	—	3	2–1	67%	-0.00
cache	—	2	0–2	0%	0.03
office	—	2	2–0	100%	-0.07
aim_all_pistols	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

219,217Lifetime kills

0.92K/D

9,074Matches

45.3%Match win rate

48.4%Headshot % · Top 50% of tracked players

14.7%Shot accuracy · Top 50% of tracked players

24,233MVPs

5,093Hours (in match)

10,152Bombs planted

2,078Bombs defused

Most-used weapons

AK-4768,804

AWP44,782

M4A4 / M4A1-S34,280

P2000 / USP-S14,910

Desert Eagle11,762

Glock-185,958

P2504,875

SG 5534,338

Galil AR3,548

Knife2,892

Lifetime map wins

21,647dust2

16,699inferno

5,659vertigo

5,458nuke

3,752train

68office

26cbble

12lake

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

Faceit stats

Combat

3,108Matches

50%Win rate

1.04Avg K/D

81.6ADR

47%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	457	51%	1.12	17.1
Dust2	439	55%	1.12	16.9
Mirage	392	42%	0.99	15.8
Anubis	232	44%	1.01	16.0
Inferno	163	45%	0.99	16.1
Vertigo	150	61%	1.19	18.6
Nuke	130	52%	1.09	16.6
Overpass	68	47%	0.97	16.0

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.

30.7%Headshot accuracy

31.2%Accuracy (enemy spotted)

30.2%Spray accuracy

77.1%Counter-strafing

10.3°Preaim

624msReaction time

38.7%T opening success

55.0%CT opening success

0.75Enemies flashed / flash

7.5%Flash assists

8.27HE damage / grenade

10.39Flashes / 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.

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 38.731% — below the 40% mark we flag

Spend your practice time on Inferno

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 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	-0.03	37%	20 Aug →
ancient	8–13	-0.07	40%	12 Aug →
cache	14–16	0.08	34%	12 Aug →
inferno	5–13	-0.02	27%	12 Aug →
mirage	6–13	0.10	24%	12 Aug →
cache	11–13	-0.01	16%	11 Aug →
inferno	3–0	-0.01	18%	8 Aug →
ancient	13–6	0.04	17%	8 Aug →
mirage	13–6	-0.04	40%	8 Aug →
dust2	0–2	-0.17	0%	5 Aug →
inferno	11–13	-0.01	31%	4 Aug →
dust2	12–16	-0.03	32%	3 Aug →
mirage	5–13	-0.02	12%	28 Jul →
dust2	13–6	0.04	33%	25 Jul →
inferno	4–13	-0.10	23%	25 Jul →
dust2	13–5	0.01	24%	25 Jul →
mirage	13–6	0.01	21%	25 Jul →
mirage	1–7	-0.05	50%	23 Jul →
dust2	13–9	0.03	30%	23 Jul →
dust2	13–11	-0.02	28%	18 Jul →
ancient	13–10	-0.02	29%	1 Jul →
dust2	13–9	0.06	55%	1 Jul →
inferno	2–13	0.04	38%	1 Jul →
mirage	13–6	-0.01	33%	1 Jul →
dust2	4–13	0.00	40%	1 Jul →
nuke	13–6	0.01	37%	1 Jul →
dust2	13–11	0.03	30%	30 Jun →
mirage	13–8	-0.05	21%	30 Jun →
mirage	15–15	-0.00	36%	26 Jun →
nuke	13–11	0.02	30%	26 Jun →
anubis	13–10	0.01	20%	26 Jun →
dust2	6–13	-0.03	14%	17 Jun →
mirage	8–13	-0.02	29%	17 Jun →
ancient	13–9	0.05	31%	17 Jun →
dust2	6–13	-0.06	9%	17 Jun →
dust2	16–14	0.03	13%	16 Jun →
dust2	1–6	-0.08	7%	16 Jun →
inferno	7–13	0.02	19%	16 Jun →
nuke	13–3	-0.03	26%	15 Jun →
anubis	13–9	0.05	19%	14 Jun →
nuke	13–10	-0.03	18%	14 Jun →
anubis	6–13	-0.04	33%	11 Jun →
ancient	10–13	-0.02	18%	10 Jun →
ancient	13–11	0.00	24%	10 Jun →
inferno	7–13	-0.07	22%	10 Jun →
overpass	13–8	-0.01	15%	6 Jun →
dust2	11–13	-0.09	29%	6 Jun →
overpass	6–13	0.04	20%	5 Jun →
mirage	13–11	0.02	21%	4 Jun →
vertigo	13–4	0.08	26%	4 Jun →
ancient	13–10	0.05	26%	4 Jun →
inferno	14–16	-0.02	23%	2 Jun →
dust2	13–6	0.03	25%	1 Jun →
inferno	11–13	0.08	18%	29 May →
inferno	8–13	-0.05	22%	29 May →
inferno	9–13	0.06	35%	27 May →
dust2	9–13	0.02	17%	27 May →
mirage	13–11	-0.01	25%	27 May →
ancient	10–13	0.03	18%	26 May →
dust2	4–13	-0.07	25%	26 May →
mirage	3–13	-0.06	26%	24 May →
dust2	13–5	-0.00	19%	21 May →
inferno	13–6	-0.00	19%	21 May →
dust2	9–13	-0.05	36%	16 May →
ancient	9–13	-0.03	16%	14 May →
nuke	6–13	-0.00	30%	14 May →
office	13–8	-0.07	29%	13 May →
mirage	13–9	-0.02	21%	13 May →
mirage	15–15	0.05	30%	12 May →
dust2	13–11	-0.01	23%	11 May →
dust2	13–8	-0.00	14%	11 May →
ancient	13–7	0.04	27%	25 Apr →
mirage	13–6	0.10	24%	25 Apr →
mirage	16–13	0.04	24%	24 Apr →
dust2	8–13	-0.06	35%	24 Apr →
ancient	13–11	0.05	24%	23 Apr →
inferno	9–13	-0.02	19%	21 Apr →
dust2	10–13	0.03	24%	20 Apr →
mirage	13–3	-0.04	12%	15 Apr →
ancient	11–13	0.07	27%	15 Apr →
overpass	13–9	0.03	31%	15 Apr →
dust2	13–9	0.02	16%	14 Apr →
ancient	1–13	-0.07	33%	11 Apr →
aim_all_pistols	16–19	-0.05	50%	9 Apr →
vertigo	13–10	-0.02	31%	8 Apr →
vertigo	9–13	-0.06	23%	8 Apr →
dust2	13–10	-0.05	26%	5 Apr →
inferno	9–1	0.05	26%	1 Apr →
anubis	13–6	0.08	27%	1 Apr →
anubis	12–12	-0.00	15%	1 Apr →
nuke	13–10	0.10	27%	26 Mar →
dust2	3–13	0.07	19%	26 Mar →
mirage	13–10	0.04	22%	25 Mar →
anubis	13–11	0.00	24%	21 Mar →
anubis	5–13	-0.03	26%	20 Mar →
dust2	13–10	0.01	29%	18 Mar →
dust2	13–7	0.03	32%	18 Mar →
office	13–7	-0.07	24%	18 Mar →
mirage	5–13	-0.00	30%	14 Mar →
anubis	2–13	-0.06	7%	13 Mar →