Dudez_Abide — CS2 Stats

76561197976298027[U:1:16032299]

376Tracked matches43%Win rate2020Tracked since

3,147Hours in CS0Hrs last 2 wks

CSDB Rating3.1 Learning

Ladder ranks via Leetify

Performance scores

Aim39

Positioning35

Utility26

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLLWWWWWWLL

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim3.9

Aggression3.9

Utility2.6

Positioning3.5

Opening Duels0.2

Clutch2.0

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 NiKo 71% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.9

Positioning3.5

Utility2.6

Mechanics3.7

Opening Duels0.4

Win Impact2.8

Composite 3.1/10 (Learning), 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 rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time580ms−28ms

first ⅓ avg 608ms → last ⅓ avg 580ms

Headshot accuracy15.2%+1.5%

first ⅓ avg 13.7% → 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.

Highlights

0.26Best rating — dust2 13–6

13–2Biggest win — dust2

6Longest win streak

L2Current streak

7–4In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 80% over 20mirageWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	11–11	50%	0.01
nuke	S	20	16–4	80%	-0.01
ancient	C	12	5–7	42%	-0.03
cache	C	9	4–5	44%	-0.03
inferno	C	9	4–5	44%	-0.04
mirage	D	6	2–4	33%	-0.04
overpass	C	5	2–3	40%	-0.02
anubis	—	4	4–0	100%	-0.00
train	—	4	0–4	0%	-0.02
jura	—	3	1–2	33%	-0.02
office	—	2	0–2	0%	-0.08
vertigo	—	2	0–2	0%	-0.01
stronghold	—	1	1–0	100%	0.10
agency	—	1	1–0	100%	0.18

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,282Lifetime kills

1.45K/D · Top 10% of tracked players

11,869Matches

78.5%Match win rate · Top 1% of tracked players

53.4%Headshot % · Top 25% of tracked players

21.0%Shot accuracy · Top 5% of tracked players

11,545MVPs

1,734Hours (in match)

4,335Bombs planted

904Bombs defused

Most-used weapons

M4A4 / M4A1-S16,818

AK-4714,628

AWP10,905

P25010,000

P2000 / USP-S6,103

P904,761

Glock-184,442

Galil AR3,134

AUG2,986

UMP-452,726

Lifetime map wins

9,731dust2

5,305nuke

3,299inferno

926train

740office

536vertigo

394cbble

178italy

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

Faceit stats

Combat

180Matches

41%Win rate

0.87Avg K/D

76.7ADR

42%Headshot %

Clutches & streaks

30%1v1 clutch win

11%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	14	50%	0.94	13.7
Ancient	9	33%	0.92	15.8
Anubis	9	44%	1.07	18.3
Nuke	8	62%	0.92	15.6
Inferno	8	50%	0.84	13.0
Dust2	6	33%	0.72	13.5
Overpass	3	67%	0.88	16.3
Train	2	100%	0.90	9.0

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.

15.5%Headshot accuracy

30.4%Accuracy (enemy spotted)

32.8%Spray accuracy

66.5%Counter-strafing

12.0°Preaim

589msReaction time

28.8%T opening success

32.8%CT opening success

0.25Enemies flashed / flash

2.5%Flash assists

12.46HE damage / grenade

1.63Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0349° — above the 12° mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2474 — below the 0.5 mark we flag
Grenade Lineups →

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.

33% win rate across 6 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
cache	7–13	-0.13	4%	9 Aug →
mirage	1–13	-0.11	13%	2 Aug →
anubis	13–8	0.02	14%	30 May →
inferno	13–11	-0.01	22%	30 May →
dust2	13–8	-0.04	9%	30 May →
nuke	13–4	0.06	15%	30 May →
mirage	13–8	-0.01	21%	30 May →
anubis	13–7	-0.05	14%	28 May →
dust2	2–13	-0.08	9%	24 May →
ancient	9–13	-0.08	19%	24 May →
nuke	6–13	-0.08	11%	24 May →
ancient	13–5	0.07	20%	23 May →
cache	13–8	0.02	14%	23 May →
nuke	11–13	-0.03	16%	21 May →
office	9–13	-0.07	8%	17 May →
office	6–13	-0.10	13%	16 May →
cache	13–4	-0.05	8%	16 May →
cache	13–3	0.02	14%	16 May →
nuke	4–2	0.06	22%	16 May →
cache	4–13	-0.04	19%	9 May →
ancient	7–13	-0.08	23%	9 May →
cache	11–13	-0.08	14%	9 May →
cache	13–6	0.07	23%	9 May →
cache	7–13	-0.00	29%	4 May →
cache	9–13	-0.06	6%	4 May →
dust2	13–6	-0.07	23%	27 Apr →
inferno	2–13	-0.12	13%	27 Apr →
ancient	6–13	-0.03	13%	27 Apr →
train	8–13	-0.01	21%	26 Apr →
mirage	8–13	0.02	18%	24 Apr →
dust2	12–12	0.11	14%	24 Apr →
inferno	12–5	-0.08	13%	14 Apr →
ancient	10–13	-0.08	8%	14 Apr →
vertigo	10–13	-0.02	13%	12 Apr →
vertigo	2–13	0.00	28%	12 Apr →
nuke	13–11	-0.05	16%	12 Apr →
nuke	13–7	0.03	19%	12 Apr →
dust2	12–5	0.03	13%	12 Apr →
mirage	8–13	-0.00	17%	12 Apr →
dust2	2–13	-0.07	15%	12 Apr →
ancient	5–13	-0.06	16%	2 Apr →
anubis	13–10	-0.01	5%	2 Apr →
inferno	3–13	-0.04	40%	21 Mar →
nuke	13–7	-0.06	28%	15 Mar →
nuke	13–7	0.01	27%	15 Mar →
inferno	13–9	-0.01	23%	15 Mar →
nuke	13–11	-0.06	17%	9 Mar →
nuke	13–5	0.06	27%	8 Mar →
nuke	13–7	-0.05	20%	8 Mar →
nuke	5–13	0.02	9%	26 Feb →
stronghold	13–5	0.10	23%	7 Feb →
anubis	13–8	0.03	20%	7 Feb →
overpass	13–4	0.00	0%	18 Jan →
train	1–13	-0.10	13%	15 Jan →
dust2	13–2	0.05	13%	15 Jan →
dust2	13–6	0.26	15%	15 Jan →
ancient	10–4	-0.04	10%	14 Jan →
nuke	4–13	-0.05	9%	4 Jan →
dust2	10–13	-0.06	20%	4 Jan →
dust2	9–13	-0.05	9%	4 Jan →
dust2	13–5	0.04	21%	5 Oct →
dust2	13–5	0.06	9%	5 Oct →
dust2	10–13	0.03	12%	5 Oct →
dust2	13–10	0.04	10%	5 Oct →
dust2	13–8	0.02	15%	21 Sept →
dust2	10–13	0.10	11%	21 Sept →
dust2	9–13	0.05	14%	21 Sept →
ancient	13–11	0.01	23%	27 Aug →
dust2	16–13	0.01	11%	10 Aug →
agency	13–5	0.18	18%	8 Aug →
overpass	13–5	-0.04	7%	7 Aug →
ancient	13–6	-0.05	6%	7 Aug →
inferno	5–13	-0.04	12%	3 Aug →
nuke	13–4	-0.02	11%	3 Aug →
mirage	10–13	-0.06	23%	3 Aug →
inferno	10–13	-0.02	11%	3 Aug →
inferno	7–13	0.00	12%	2 Aug →
dust2	7–13	-0.04	32%	2 Aug →
jura	13–5	0.04	14%	1 Aug →
jura	3–13	-0.07	13%	31 Jul →
jura	12–12	-0.02	15%	31 Jul →
overpass	11–13	-0.02	10%	27 Jul →
nuke	13–11	-0.02	21%	27 Jul →
nuke	13–7	-0.04	13%	27 Jul →
dust2	8–13	-0.03	14%	26 Jul →
ancient	11–13	-0.04	15%	25 Jul →
dust2	10–13	-0.05	3%	25 Jul →
ancient	13–5	0.03	13%	25 Jul →
inferno	13–4	-0.00	11%	22 Jul →
mirage	16–14	-0.05	16%	22 Jul →
overpass	8–13	-0.02	16%	21 Jul →
nuke	13–2	0.06	17%	21 Jul →
nuke	13–9	-0.03	3%	21 Jul →
nuke	13–8	-0.01	7%	20 Jul →
train	10–13	-0.03	11%	20 Jul →
nuke	13–5	0.01	8%	19 Jul →
ancient	15–15	-0.02	13%	19 Jul →
train	5–13	0.07	18%	17 Jul →
overpass	10–13	-0.04	11%	16 Jul →
dust2	13–6	-0.00	24%	16 Jul →