johndumb — CS2 Stats

76561198836649342[U:1:876383614]Steam profile ↗

163Tracked matches42%Win rate2020Tracked since

287Hours in CS

CSDB Rating2.3 Learning

Ladder ranks via Leetify

Performance scores

Aim6

Positioning50

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateWWWWTWTLLT

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim0.6

Aggression7.0

Utility4.2

Positioning5.0

Opening Duels2.9

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 ropz 74% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 659ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 40% 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

Aim0.6

Positioning5.0

Utility4.2

Mechanics0.0

Opening Duels2.9

Win Impact2.4

Composite 2.3/10 (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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time665ms−22ms

first ⅓ avg 687ms → last ⅓ avg 665ms

Headshot accuracy11.4%+2.6%

first ⅓ avg 8.9% → last ⅓ avg 11.4%

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

0.08Best rating — inferno 13–2

13–0Biggest win — dust2

4Longest win streak

W4Current streak

1–4In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 65% over 31nukeWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	31	20–11	65%	-0.03
office	A	13	8–5	62%	-0.00
mirage	D	12	3–9	25%	-0.04
inferno	B	10	5–5	50%	-0.02
ancient	C	10	4–6	40%	-0.03
vertigo	C	7	3–4	43%	-0.03
nuke	D	7	1–6	14%	-0.08
anubis	D	6	2–4	33%	-0.01
cache	—	1	0–1	0%	0.01
grail	—	1	0–1	0%	-0.13
overpass	—	1	0–1	0%	-0.04
train	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,063Lifetime kills

0.81K/D

965Matches

26.3%Match win rate

33.5%Headshot %

14.4%Shot accuracy · Top 50% of tracked players

906MVPs

287Hours (in match)

329Bombs planted

69Bombs defused

Most-used weapons

M4A4 / M4A1-S1,533

AWP1,316

SG 5531,221

AK-471,064

MAC-10972

P2000 / USP-S777

AUG650

Desert Eagle619

MP7617

Nova521

Lifetime map wins

1,321dust2

722inferno

586office

468nuke

235vertigo

176train

23italy

19safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.6%Headshot accuracy

27.7%Accuracy (enemy spotted)

24.4%Spray accuracy

40.2%Counter-strafing

13.6°Preaim

659msReaction time

35.2%T opening success

47.9%CT opening success

0.56Enemies flashed / flash

6.2%Flash assists

7.52HE damage / grenade

5.93Flashes / 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 13.5765° — above the 12° mark we flag
Aim Training →
Movement Guide
Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.
Counter-strafing 40.1782% — below the 45% mark we flag
Practice Config →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.6316% — below the 15% mark we flag
Aim Training →

Spend your practice time on Nuke

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	13–6	0.06	21%	17 Jun →
dust2	13–2	0.04	6%	17 Jun →
office	13–5	-0.03	17%	14 Jun →
office	13–5	0.06	8%	14 Jun →
inferno	12–12	-0.04	10%	10 Jun →
office	13–4	0.04	5%	10 Jun →
office	12–12	0.06	10%	10 Jun →
office	10–13	0.02	20%	10 Jun →
vertigo	11–13	-0.06	11%	8 Jun →
nuke	12–12	-0.10	15%	28 May →
mirage	5–13	-0.03	13%	28 Apr →
cache	12–12	0.01	8%	28 Apr →
dust2	4–13	-0.09	13%	28 Apr →
inferno	2–13	-0.02	18%	28 Apr →
dust2	11–13	0.04	10%	28 Apr →
dust2	13–9	-0.01	9%	27 Apr →
anubis	4–13	-0.10	16%	27 Apr →
inferno	13–2	0.08	13%	27 Apr →
dust2	2–13	-0.08	15%	27 Apr →
ancient	4–13	0.03	21%	27 Apr →
dust2	11–2	0.03	7%	27 Apr →
dust2	10–13	-0.07	9%	24 Apr →
inferno	4–13	-0.05	3%	24 Apr →
ancient	4–13	-0.10	6%	24 Apr →
inferno	13–10	-0.05	14%	24 Apr →
nuke	8–13	-0.07	14%	23 Apr →
nuke	13–7	-0.10	10%	23 Apr →
mirage	2–13	-0.08	6%	23 Apr →
dust2	13–7	-0.07	9%	22 Apr →
inferno	5–13	0.02	11%	21 Apr →
mirage	7–13	-0.00	9%	21 Apr →
anubis	13–10	0.01	11%	20 Apr →
mirage	13–5	-0.04	10%	20 Apr →
dust2	8–13	-0.05	11%	20 Apr →
dust2	13–0	0.07	9%	16 Apr →
anubis	13–3	0.06	10%	16 Apr →
mirage	4–13	0.02	13%	16 Apr →
dust2	13–10	-0.07	4%	16 Apr →
inferno	13–8	-0.06	11%	12 Apr →
dust2	13–11	-0.06	7%	12 Apr →
mirage	11–3	0.06	12%	12 Apr →
dust2	5–13	-0.06	10%	12 Apr →
vertigo	13–10	0.01	11%	12 Apr →
dust2	13–9	-0.02	29%	7 Apr →
office	9–13	-0.03	7%	19 Mar →
office	13–8	-0.00	12%	18 Mar →
mirage	10–13	-0.04	14%	18 Mar →
dust2	13–9	-0.02	12%	17 Mar →
dust2	13–2	-0.03	17%	16 Mar →
mirage	10–13	-0.13	7%	16 Mar →
anubis	12–12	-0.02	13%	16 Mar →
vertigo	9–13	-0.02	12%	16 Mar →
mirage	5–13	-0.08	21%	15 Mar →
vertigo	13–8	-0.06	8%	15 Mar →
dust2	4–13	-0.04	16%	15 Mar →
office	5–13	-0.10	20%	15 Mar →
mirage	13–10	0.01	11%	15 Mar →
nuke	11–13	-0.08	9%	15 Mar →
mirage	10–13	-0.04	15%	14 Mar →
ancient	11–13	-0.05	14%	27 Feb →
anubis	5–13	-0.04	22%	27 Feb →
ancient	13–7	-0.01	13%	22 Feb →
vertigo	12–12	-0.07	6%	16 Feb →
anubis	10–13	0.02	11%	16 Feb →
dust2	12–12	-0.06	10%	16 Feb →
office	13–8	-0.11	28%	16 Feb →
ancient	8–13	-0.08	15%	1 Feb →
dust2	13–3	-0.08	12%	1 Feb →
dust2	13–9	-0.05	8%	1 Feb →
dust2	13–10	-0.06	11%	24 Jul →
inferno	3–13	-0.04	7%	24 Jul →
mirage	3–13	-0.08	8%	16 Jul →
dust2	13–6	-0.01	5%	15 Jul →
dust2	5–13	-0.03	0%	15 Jul →
inferno	13–5	0.02	12%	15 Jul →
nuke	6–13	-0.12	18%	15 Jul →
ancient	3–13	-0.01	3%	15 Jul →
office	13–4	-0.03	8%	15 Jul →
vertigo	9–13	0.00	17%	15 Jul →
dust2	13–10	-0.01	9%	15 Jul →
ancient	12–12	-0.06	9%	12 Jul →
dust2	13–9	-0.01	2%	12 Jul →
nuke	12–12	-0.03	18%	11 Jul →
vertigo	13–5	-0.01	5%	11 Jul →
office	13–3	-0.00	11%	6 Jul →
nuke	8–13	-0.03	7%	6 Jul →
grail	10–13	-0.13	0%	6 Jul →
dust2	13–4	-0.01	11%	6 Jul →
ancient	13–8	-0.07	3%	4 Jul →
ancient	13–9	0.02	4%	29 Jun →
dust2	12–12	-0.04	10%	29 Jun →
dust2	13–5	0.03	5%	25 Jun →
overpass	1–12	-0.04	11%	23 Jun →
office	10–13	0.00	10%	23 Jun →
dust2	10–13	-0.07	10%	23 Jun →
dust2	13–6	-0.01	13%	22 Jun →
inferno	13–4	-0.03	14%	22 Jun →
train	8–13	-0.07	8%	22 Jun →
ancient	13–7	-0.00	6%	21 Jun →
dust2	13–2	0.06	16%	21 Jun →