Aiduk 🐒 — CS2 Stats

FR76561197991924211[U:1:31658483]Steam profile ↗✓ No bans

659Tracked matches59%Win rate2020Tracked since

2,240Hours in CS0Hrs last 2 wks

CSDB Rating6.5 SolidSupport

CSDB Leaderboard#33166 of 259360 tracked

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 23,925 +404 12 May – 2 Jul · 21 days played

24,150Peak Premier in tracked matches

44Days played since 2025-10-24

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

Performance scores

Aim77

Positioning51

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWWLWLLWWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.3pp headshot accuracy · −35ms 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

3–2 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 20%
Avg reaction 478ms

Last 10

6–4 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 534ms

Last 20

11–8–1 · 55% win rate
Avg rating -0.00
Avg headshot accuracy 19%
Avg reaction 551ms

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 (+1.5 against its own average).

Aim7.7

Utility6.9

Positioning5.1

Opening Duels4.3

Clutch5.2

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 ZywOo 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 573ms 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

Aim7.7

Positioning5.1

Utility6.9

Mechanics6.6

Opening Duels3.7

Win Impact7.9

Composite 6.5/10 (Solid), 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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time580ms−16ms

first ⅓ avg 596ms → last ⅓ avg 580ms

Headshot accuracy20.2%−3.9%

first ⅓ avg 24.1% → last ⅓ avg 20.2%

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

0.14Best match rating · 13–2 · inferno, 31 Oct →

43%Best headshot accuracy · 6–13 · inferno, 3 Jun →

375msFastest reaction time · 13–7 · cache, 9 Sept →

13–0Biggest win · ancient, 14 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W2Current streak

11–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 71% over 7mirageWeakest map · 40% over 20

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	28	17–11	61%	0.01
mirage	C	20	8–12	40%	-0.00
cache	C	14	6–8	43%	0.01
nuke	B	12	6–6	50%	0.01
ancient	A	11	7–4	64%	0.02
dust2	S	7	5–2	71%	0.02
overpass	A	7	4–3	57%	0.03
anubis	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 20). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,034Lifetime kills

1.21K/D · Top 25% of tracked players

2,619Matches

51.2%Match win rate · Top 25% of tracked players

47.2%Headshot % · Top 50% of tracked players

16.7%Shot accuracy · Top 25% of tracked players

7,991MVPs

1,298Hours (in match)

2,738Bombs planted

744Bombs defused

Most-used weapons

AK-4718,297

M4A4 / M4A1-S11,538

AWP10,717

P2000 / USP-S6,153

Desert Eagle3,225

Glock-183,004

FAMAS1,795

P2501,592

MAC-101,304

P901,102

Lifetime map wins

8,480inferno

4,755dust2

1,772nuke

440train

181vertigo

137cbble

62office

46dust

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

Faceit stats

Combat

580Matches

52%Win rate

1.14Avg K/D

84.1ADR

40%Headshot %

Clutches & streaks

46%1v1 clutch win

32%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	29	69%	1.29	15.6
Cache	14	50%	1.47	16.2
Ancient	14	57%	1.17	17.1
Nuke	12	67%	1.22	16.9
Dust2	7	14%	0.92	16.4
Mirage	7	29%	1.57	22.0
Anubis	1	100%	1.21	17.0

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.

20.8%Headshot accuracy

39.1%Accuracy (enemy spotted)

41.1%Spray accuracy

79.5%Counter-strafing

11.9°Preaim

573msReaction time

38.6%T opening success

50.9%CT opening success

0.53Enemies flashed / flash

7.4%Flash assists

8.87HE damage / grenade

12.95Flashes / 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 38.6229% — below the 40% mark we flag

Spend your practice time on Mirage

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

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–7	0.02	21%	9 Sept →
cache	13–7	-0.01	16%	9 Sept →
dust2	10–13	-0.03	18%	28 Aug →
mirage	13–7	0.02	28%	26 Aug →
ancient	4–13	-0.04	16%	26 Aug →
inferno	10–13	0.02	22%	20 Jul →
inferno	13–10	-0.02	19%	8 Jul →
mirage	13–9	-0.01	13%	2 Jul →
inferno	16–12	0.04	23%	29 Jun →
mirage	3–13	-0.06	7%	27 Jun →
inferno	13–6	-0.00	18%	25 Jun →
mirage	6–13	-0.06	38%	25 Jun →
nuke	15–15	0.01	24%	25 Jun →
ancient	7–13	0.06	11%	23 Jun →
inferno	8–13	0.01	16%	23 Jun →
inferno	13–11	0.00	16%	23 Jun →
ancient	13–11	0.01	18%	22 Jun →
overpass	13–4	-0.01	17%	22 Jun →
mirage	10–13	-0.01	16%	22 Jun →
mirage	13–11	0.01	20%	18 Jun →
inferno	13–6	0.07	26%	18 Jun →
overpass	14–16	0.03	23%	17 Jun →
mirage	13–6	-0.02	20%	17 Jun →
ancient	9–13	-0.07	13%	15 Jun →
nuke	13–7	0.02	28%	15 Jun →
nuke	10–13	0.01	30%	15 Jun →
nuke	10–13	-0.01	27%	14 Jun →
ancient	13–0	0.07	19%	14 Jun →
dust2	13–9	0.10	31%	10 Jun →
overpass	13–10	0.05	25%	9 Jun →
mirage	5–13	-0.03	7%	8 Jun →
nuke	10–13	0.05	28%	8 Jun →
inferno	16–13	0.00	14%	8 Jun →
ancient	13–8	-0.02	16%	3 Jun →
inferno	6–13	-0.04	43%	3 Jun →
mirage	16–13	0.03	24%	3 Jun →
dust2	13–7	0.11	18%	1 Jun →
nuke	8–13	0.00	29%	1 Jun →
mirage	6–13	-0.01	26%	1 Jun →
mirage	14–16	-0.02	16%	30 May →
overpass	13–8	0.08	32%	30 May →
nuke	13–8	0.02	23%	30 May →
inferno	13–7	0.01	19%	30 May →
ancient	16–13	0.10	26%	29 May →
dust2	13–5	0.04	31%	29 May →
mirage	3–13	-0.02	14%	25 May →
nuke	13–6	-0.01	22%	25 May →
dust2	8–13	-0.05	13%	25 May →
nuke	1–13	-0.04	17%	24 May →
overpass	8–13	0.07	19%	24 May →
cache	13–9	0.07	22%	20 May →
ancient	13–9	0.06	16%	20 May →
cache	10–13	-0.02	15%	19 May →
mirage	3–13	-0.02	26%	19 May →
inferno	14–16	0.00	20%	19 May →
inferno	3–13	-0.02	25%	18 May →
mirage	8–13	0.03	3%	18 May →
nuke	13–8	0.05	25%	18 May →
inferno	4–13	-0.03	32%	14 May →
mirage	8–13	-0.02	28%	14 May →
inferno	13–4	0.11	21%	14 May →
cache	7–13	0.06	19%	14 May →
cache	12–12	0.01	19%	12 May →
mirage	13–11	0.04	15%	12 May →
inferno	13–11	-0.02	10%	12 May →
dust2	13–9	-0.00	24%	11 May →
cache	13–5	0.09	25%	11 May →
overpass	13–9	0.02	16%	10 May →
inferno	11–13	0.00	17%	10 May →
cache	11–13	-0.03	21%	10 May →
cache	6–13	0.02	22%	10 May →
inferno	13–11	-0.01	19%	8 May →
anubis	6–13	0.03	24%	8 May →
cache	13–11	-0.01	13%	8 May →
mirage	13–10	0.01	35%	8 May →
inferno	9–13	-0.05	24%	5 May →
dust2	13–7	-0.01	38%	5 May →
cache	6–13	-0.02	24%	5 May →
cache	3–13	-0.08	26%	4 May →
cache	12–12	-0.01	16%	4 May →
cache	13–10	0.07	26%	4 May →
cache	13–11	0.02	36%	29 Apr →
inferno	13–8	0.05	17%	13 Apr →
inferno	13–16	0.01	18%	13 Apr →
inferno	5–13	0.01	15%	13 Feb →
inferno	4–13	-0.01	13%	11 Feb →
ancient	5–13	0.02	16%	11 Feb →
mirage	13–11	-0.00	20%	11 Feb →
nuke	13–9	-0.01	26%	6 Feb →
inferno	13–7	0.03	29%	6 Feb →
ancient	13–10	-0.02	30%	6 Jan →
mirage	11–13	0.03	29%	6 Jan →
overpass	11–13	0.00	26%	29 Dec →
inferno	13–11	0.02	21%	29 Dec →
ancient	16–14	-0.02	24%	27 Dec →
mirage	11–13	0.06	38%	31 Oct →
inferno	13–2	0.14	30%	31 Oct →
nuke	13–10	0.06	28%	31 Oct →
inferno	13–8	0.05	21%	24 Oct →
inferno	13–8	-0.00	37%	24 Oct →