Henk🗿 — CS2 Stats

TD76561199208304030[U:1:1248038302]Steam profile ↗✓ No bans

2,382Tracked matches56%Win rate2021Tracked since

2,530Hours in CS10Hrs last 2 wks

CSDB Rating7.3 StrongPositional Player

Premier CS Rating23,097Top 25% of 215,558 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)

CSDB Leaderboard#43167 of 261688 tracked

FaceitLevel 10 · 1,942 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (9 days ago). 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: 23,097 +4,165 14 Jul – 6 Nov · 24 days played

Faceit ELO: 1,942 +0 2 Sept – 22 Sept · 5 observations

23,154Peak Premier in tracked matches

1,942Highest Faceit ELO seen on CSDB

32Days played since 2026-06-17

Faceit ELO

At peak — 1,942
Next: Level 10 at 2,001 — 59 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-02
Level 8 first seen 2026-09-02

Premier CS Rating

At peak — 23,097
+639 over 30 days · improving
+2,033 over 90 days
Next: Red band at 25,000 — 1,903 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-02
Purple band first seen 2026-09-02

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=31,884), 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.

Metric	This player	Level 10 median
Headshot rate	51.8%	50.9%
Shot accuracy	6.2%	13.7%
Kill/death ratio	1.19	1.09
Match win rate	42.5%	48.4%

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Performance scores

Aim75

Positioning75

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY54–40–6Last 10054%Win rateTWWWLWLWLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +1.7pp headshot accuracy · −56ms 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

3–1–1 · 60% win rate
Avg rating 0.05
Avg headshot accuracy 21%
Avg reaction 553ms

Last 10

6–3–1 · 60% win rate
Avg rating 0.05
Avg headshot accuracy 20%
Avg reaction 541ms

Last 20

13–6–1 · 65% win rate
Avg rating 0.07
Avg headshot accuracy 19%
Avg reaction 569ms

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 (+1.9 against its own average).

Aim7.5

Utility5.8

Positioning7.5

Opening Duels4.8

Clutch4.4

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

Plays most like jL 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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. 63% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 572ms 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

Aim7.5

Positioning7.5

Utility5.8

Mechanics7.5

Opening Duels7.0

Win Impact6.9

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.01

first ⅓ avg 0.04 → last ⅓ avg 0.05

Reaction time564ms−43ms

first ⅓ avg 607ms → last ⅓ avg 564ms

Headshot accuracy17.9%+1.1%

first ⅓ avg 16.8% → 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

0.34Best match rating · 9–3 · sanctum, 29 Jun →

42%Best headshot accuracy · 9–1 · poseidon, 29 Jun →

453msFastest reaction time · 5–13 · nuke, 26 Sept →

13–1Biggest win · anubis, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

6–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 62% over 13infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	19	11–8	58%	0.05
cache	A	16	9–7	56%	0.04
anubis	B	15	8–7	53%	0.05
mirage	B	13	6–7	46%	0.01
ancient	A	13	8–5	62%	0.02
inferno	C	11	4–7	36%	0.01
dust2	A	7	4–3	57%	0.03
vertigo	—	2	1–1	50%	-0.03
poseidon	—	2	1–1	50%	0.11
rush_001	—	1	1–0	100%	0.25
sanctum	—	1	1–0	100%	0.34

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

107,976Lifetime kills

1.19K/D · Top 50% of Level 10 players

3,705Matches

42.5%Match win rate

51.8%Headshot % · Top 50% of Level 10 players

6.2%Shot accuracy

8,614MVPs

4,085Hours (in match)

2,199Bombs planted

932Bombs defused

Most-used weapons

AK-4748,100

M4A4 / M4A1-S16,182

P2000 / USP-S9,036

Desert Eagle8,629

AWP4,104

Galil AR3,396

Glock-183,071

MP92,602

FAMAS1,636

MAC-101,448

Lifetime map wins

6,687nuke

3,704vertigo

2,935inferno

1,422train

1,153dust2

114office

70cbble

67lake

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

Faceit stats

Combat

709Matches

53%Win rate

1.22Avg K/D

79.8ADR

39%Headshot %

Clutches & streaks

42%1v1 clutch win

26%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	141	57%	1.32	17.7
Anubis	133	54%	1.33	16.9
Nuke	103	65%	1.38	17.7
Mirage	83	46%	1.03	15.2
Inferno	59	41%	1.09	15.9
Vertigo	42	50%	1.11	15.4
Train	28	57%	1.19	16.8
Dust2	23	48%	1.12	14.0

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.

18.5%Headshot accuracy

37.5%Accuracy (enemy spotted)

37.2%Spray accuracy

83.6%Counter-strafing

10.8°Preaim

572msReaction time

62.9%T opening success

53.5%CT opening success

0.55Enemies flashed / flash

8.1%Flash assists

9.80HE damage / grenade

10.91Flashes / match

Recommended for you

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.

36% win rate across 11 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
mirage	15–15	0.01	19%	6 Nov →
ancient	13–9	0.06	13%	6 Nov →
cache	13–9	0.04	19%	6 Nov →
ancient	13–8	0.12	23%	6 Nov →
anubis	9–13	0.01	34%	6 Nov →
cache	13–5	0.06	26%	5 Nov →
nuke	11–13	0.01	16%	5 Nov →
anubis	7–2	0.08	25%	5 Nov →
inferno	11–13	-0.02	11%	5 Nov →
inferno	13–8	0.10	18%	29 Oct →
dust2	13–8	0.08	13%	29 Oct →
inferno	13–5	0.16	32%	27 Oct →
anubis	7–13	0.15	27%	27 Oct →
cache	11–13	-0.00	20%	27 Oct →
mirage	13–4	0.02	24%	23 Oct →
nuke	13–8	0.08	11%	23 Oct →
mirage	13–8	0.13	25%	23 Oct →
inferno	9–13	0.02	14%	23 Oct →
rush_001	6–2	0.25	9%	23 Oct →
inferno	9–6	0.01	11%	23 Oct →
cache	15–15	-0.01	14%	22 Oct →
ancient	7–13	-0.01	22%	22 Oct →
nuke	5–13	0.11	21%	22 Oct →
cache	15–15	0.02	7%	7 Oct →
dust2	13–8	0.05	16%	7 Oct →
nuke	9–2	0.01	29%	30 Sept →
ancient	13–9	0.02	12%	29 Sept →
cache	18–22	0.05	27%	29 Sept →
anubis	13–1	0.16	9%	26 Sept →
mirage	11–13	0.01	6%	26 Sept →
cache	9–13	0.02	22%	26 Sept →
inferno	9–13	0.02	16%	26 Sept →
nuke	5–13	-0.03	4%	26 Sept →
ancient	8–13	-0.03	13%	26 Sept →
nuke	13–8	0.06	10%	24 Sept →
anubis	13–8	0.03	16%	24 Sept →
ancient	13–3	0.03	0%	24 Sept →
cache	13–5	0.11	16%	24 Sept →
mirage	13–4	0.08	17%	24 Sept →
vertigo	11–13	-0.01	7%	24 Sept →
nuke	13–11	0.05	18%	30 Aug →
anubis	6–13	0.04	27%	30 Aug →
ancient	7–13	-0.03	7%	25 Aug →
inferno	14–16	-0.02	17%	11 Aug →
anubis	3–13	0.02	17%	10 Aug →
nuke	13–8	0.04	12%	10 Aug →
ancient	13–11	0.10	14%	10 Aug →
mirage	9–13	-0.07	10%	7 Aug →
ancient	15–15	0.01	21%	27 Jul →
cache	9–13	-0.05	21%	27 Jul →
ancient	10–13	-0.02	13%	26 Jul →
nuke	13–2	0.09	16%	26 Jul →
cache	13–6	0.04	15%	26 Jul →
ancient	11–2	0.05	14%	26 Jul →
dust2	9–13	-0.04	29%	20 Jul →
dust2	13–4	0.14	10%	20 Jul →
mirage	13–5	0.04	9%	20 Jul →
cache	13–8	-0.01	24%	16 Jul →
poseidon	8–8	-0.03	19%	16 Jul →
dust2	11–13	-0.04	10%	15 Jul →
mirage	13–8	0.03	14%	15 Jul →
cache	12–16	-0.00	11%	15 Jul →
mirage	4–13	-0.08	25%	14 Jul →
anubis	13–7	0.04	10%	14 Jul →
cache	13–2	0.08	15%	14 Jul →
mirage	6–13	-0.01	26%	14 Jul →
anubis	4–13	-0.01	5%	14 Jul →
cache	13–10	0.03	9%	14 Jul →
mirage	16–14	-0.00	15%	13 Jul →
nuke	13–1	0.12	24%	13 Jul →
anubis	13–4	0.06	11%	13 Jul →
cache	13–9	0.10	21%	13 Jul →
nuke	10–13	0.03	21%	12 Jul →
dust2	13–4	0.03	20%	12 Jul →
anubis	13–3	0.12	11%	12 Jul →
mirage	10–13	0.01	11%	12 Jul →
nuke	9–13	0.01	18%	12 Jul →
anubis	13–7	0.09	13%	11 Jul →
nuke	13–4	0.13	24%	10 Jul →
anubis	8–13	-0.01	6%	10 Jul →
mirage	10–13	-0.02	16%	10 Jul →
nuke	5–13	0.09	16%	10 Jul →
nuke	8–8	-0.02	4%	7 Jul →
inferno	10–13	-0.03	14%	7 Jul →
ancient	13–11	-0.01	13%	7 Jul →
nuke	13–4	-0.01	26%	6 Jul →
dust2	9–13	0.02	12%	29 Jun →
cache	10–1	0.11	29%	29 Jun →
sanctum	9–3	0.34	21%	29 Jun →
nuke	9–5	0.05	27%	29 Jun →
poseidon	9–1	0.26	42%	29 Jun →
vertigo	9–6	-0.04	15%	29 Jun →
inferno	6–9	-0.06	18%	29 Jun →
anubis	19–17	0.03	13%	29 Jun →
inferno	9–5	0.03	18%	22 Jun →
nuke	6–9	-0.02	6%	18 Jun →
inferno	6–9	-0.05	7%	18 Jun →
ancient	22–20	0.02	12%	17 Jun →
nuke	13–7	0.07	32%	17 Jun →
anubis	11–13	-0.04	13%	17 Jun →