captainHADDOCK — CS2 Stats

DK76561197985149818[U:1:24884090]Steam profile ↗✓ No bans

1,771Tracked matches32%Win rate2020Tracked since

CSDB Rating5.0 DevelopingSupport

Premier CS Rating26,361Top 10% of 212,910 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#10901 of 259651 tracked

FaceitLevel 10Top 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 25 Jun 2026 (131 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: 26,361 +1,747 7 Feb – 25 Jun · 20 days played

26,757Peak Premier in tracked matches

33Days played since 2026-02-05

Premier CS Rating

186 below peak (26,547)
+780 over 30 days · improving
+1,353 over 90 days
Next: Gold band at 30,000 — 3,639 to go
Reached: Red band · Pink band · Purple band · Blue band

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

Share this profile

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Performance scores

Aim59

Positioning58

Utility72

0–100 skill scores via Leetify.

Recent form

COLD53–41–6Last 10053%Win rateWTLWLLLWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −3.2pp headshot accuracy · −21ms 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

2–2–1 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 22%
Avg reaction 520ms

Last 10

3–6–1 · 30% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 561ms

Last 20

7–12–1 · 35% win rate
Avg rating -0.01
Avg headshot accuracy 19%
Avg reaction 572ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim5.9

Utility7.2

Positioning5.8

Opening Duels2.5

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

Plays most like iM 71% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

Reaction time. 562ms 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

Aim5.9

Positioning5.8

Utility7.2

Mechanics4.0

Opening Duels1.5

Win Impact0.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time568ms−10ms

first ⅓ avg 577ms → last ⅓ avg 568ms

Headshot accuracy19.3%−0.9%

first ⅓ avg 20.2% → last ⅓ avg 19.3%

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 · 13–5 · cache, 14 May →

36%Best headshot accuracy · 7–13 · inferno, 2 Mar →

422msFastest reaction time · 3–13 · dust2, 21 Feb →

13–1Biggest win · cache, 15 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak

4–1In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 73% over 11dust2Weakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	40	24–16	60%	0.01
ancient	C	14	6–8	43%	0.00
anubis	C	11	4–7	36%	0.01
nuke	S	11	8–3	73%	0.00
overpass	A	7	4–3	57%	-0.00
inferno	C	7	3–4	43%	0.01
dust2	D	6	1–5	17%	-0.02
warden	—	1	1–0	100%	0.09
stronghold	—	1	1–0	100%	-0.02
alpine	—	1	0–1	0%	-0.02
mirage	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,463Matches

50%Win rate

1.07Avg K/D

88.3ADR

49%Headshot %

Clutches & streaks

39%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	101	67%	1.24	17.5
Ancient	97	36%	1.08	16.5
Anubis	87	39%	1.14	17.1
Train	64	56%	1.32	18.5
Inferno	62	52%	1.16	18.4
Dust2	34	47%	1.34	18.6
Vertigo	30	50%	1.29	17.7
Overpass	20	45%	1.03	14.8

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.

19.2%Headshot accuracy

33.0%Accuracy (enemy spotted)

39.3%Spray accuracy

67.9%Counter-strafing

11.4°Preaim

562msReaction time

30.0%T opening success

42.3%CT opening success

0.62Enemies flashed / flash

9.4%Flash assists

12.45HE damage / grenade

12.45Flashes / 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 29.9674% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–7	0.06	27%	25 Jun →
anubis	15–15	-0.01	19%	25 Jun →
ancient	1–13	-0.08	14%	25 Jun →
anubis	13–8	0.02	21%	25 Jun →
dust2	6–13	0.01	27%	19 Jun →
anubis	6–13	-0.02	21%	19 Jun →
overpass	1–13	-0.06	10%	19 Jun →
nuke	13–3	0.02	13%	19 Jun →
ancient	3–13	-0.02	14%	19 Jun →
ancient	7–13	-0.06	11%	14 Jun →
inferno	13–11	0.02	27%	14 Jun →
ancient	13–10	-0.02	19%	14 Jun →
cache	13–10	-0.05	22%	14 Jun →
overpass	5–13	-0.03	24%	13 Jun →
ancient	12–16	-0.01	25%	13 Jun →
inferno	14–16	-0.02	23%	13 Jun →
dust2	1–13	-0.07	21%	13 Jun →
inferno	13–5	0.06	17%	12 Jun →
dust2	10–13	-0.01	16%	12 Jun →
cache	7–13	0.02	15%	12 Jun →
ancient	13–16	-0.01	23%	8 Jun →
anubis	6–13	-0.06	15%	8 Jun →
cache	4–13	-0.02	16%	8 Jun →
cache	1–13	-0.07	16%	8 Jun →
anubis	3–13	0.04	28%	6 Jun →
nuke	7–0	-0.01	14%	6 Jun →
nuke	13–9	0.03	12%	6 Jun →
ancient	15–15	-0.01	21%	6 Jun →
cache	9–13	0.03	14%	6 Jun →
ancient	3–13	-0.01	15%	31 May →
nuke	13–4	-0.01	27%	31 May →
cache	13–8	-0.05	26%	31 May →
nuke	12–12	0.00	21%	29 May →
cache	5–13	-0.04	23%	29 May →
cache	8–13	0.01	15%	29 May →
cache	13–2	0.00	18%	24 May →
cache	10–13	-0.04	20%	24 May →
cache	13–11	-0.03	27%	24 May →
cache	13–6	-0.00	26%	24 May →
cache	13–8	-0.01	21%	15 May →
cache	13–1	-0.01	20%	15 May →
cache	13–6	0.13	22%	15 May →
cache	9–13	-0.02	27%	14 May →
cache	13–2	0.07	24%	14 May →
cache	13–11	0.05	29%	14 May →
cache	13–4	0.06	32%	14 May →
cache	10–13	-0.03	23%	14 May →
cache	13–8	0.02	16%	14 May →
cache	13–5	0.15	32%	14 May →
cache	6–13	0.01	33%	14 May →
cache	13–8	-0.00	29%	14 May →
cache	13–10	0.02	28%	14 May →
cache	7–13	0.07	18%	12 May →
cache	13–6	0.06	29%	12 May →
cache	13–8	0.00	22%	12 May →
cache	1–13	-0.06	18%	10 May →
cache	10–7	-0.01	21%	10 May →
cache	13–3	-0.03	19%	10 May →
cache	13–10	0.05	22%	8 May →
cache	13–3	0.02	19%	5 May →
cache	3–13	-0.00	34%	5 May →
cache	12–12	0.01	26%	5 May →
cache	13–8	-0.02	21%	3 May →
cache	13–4	0.11	28%	3 May →
cache	10–13	-0.02	35%	3 May →
cache	5–13	-0.08	27%	3 May →
cache	13–10	0.04	17%	2 May →
overpass	13–10	0.03	23%	26 Apr →
ancient	13–6	0.10	14%	26 Apr →
inferno	13–6	0.05	25%	17 Apr →
anubis	10–13	0.02	29%	17 Apr →
ancient	15–15	-0.05	26%	17 Apr →
warden	13–2	0.09	25%	19 Mar →
stronghold	13–7	-0.02	22%	19 Mar →
alpine	5–13	-0.02	10%	19 Mar →
dust2	6–13	-0.03	32%	18 Mar →
anubis	13–4	0.08	16%	18 Mar →
nuke	9–1	0.06	10%	16 Mar →
dust2	13–7	0.02	25%	13 Mar →
overpass	13–8	0.06	28%	13 Mar →
nuke	13–7	-0.02	18%	13 Mar →
nuke	16–12	-0.00	19%	10 Mar →
inferno	7–13	-0.01	36%	2 Mar →
overpass	13–16	0.05	22%	27 Feb →
ancient	13–9	0.02	24%	27 Feb →
dust2	3–13	-0.05	21%	21 Feb →
overpass	13–10	-0.01	16%	18 Feb →
inferno	6–13	-0.03	23%	18 Feb →
nuke	10–13	0.03	19%	11 Feb →
mirage	13–6	0.04	10%	11 Feb →
anubis	7–13	-0.01	15%	8 Feb →
inferno	15–15	-0.00	17%	8 Feb →
ancient	13–10	0.06	13%	8 Feb →
nuke	2–13	-0.05	19%	7 Feb →
overpass	13–10	-0.03	15%	7 Feb →
anubis	9–13	-0.03	8%	7 Feb →
anubis	13–3	0.04	14%	7 Feb →
nuke	16–13	-0.03	21%	7 Feb →
anubis	13–11	0.04	20%	7 Feb →
ancient	13–5	0.09	31%	5 Feb →