Dingesis — CS2 Stats

76561198124410914[U:1:164145186]✓ No bans

638Tracked matches50%Win rate2020Tracked since

914Hours in CS11Hrs last 2 wks

CSDB Rating3.3 Learning

Premier CS Rating4,785Grey band · top ~79.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim37

Positioning39

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY40–57–3Last 10040%Win rateWWLWWWWLLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim3.7

Aggression4.4

Utility4.0

Positioning3.9

Opening Duels0.2

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 75% 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. 667ms 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

Aim3.7

Positioning3.9

Utility4.0

Mechanics4.5

Opening Duels0.2

Win Impact5.0

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time670ms−22ms

first ⅓ avg 692ms → last ⅓ avg 670ms

Headshot accuracy11.8%−0.4%

first ⅓ avg 12.2% → last ⅓ avg 11.8%

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 13–1

13–1Biggest win — inferno

4Longest win streak

W2Current streak

5–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 50% over 22dust2Weakest map · 32% over 34

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	34	11–23	32%	-0.04
inferno	B	22	11–11	50%	-0.03
mirage	D	19	6–13	32%	-0.03
nuke	B	16	8–8	50%	-0.03
cache	C	8	3–5	38%	-0.05
anubis	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 34). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,893Lifetime kills

0.78K/D

2,156Matches

26.2%Match win rate

35.4%Headshot %

15.5%Shot accuracy · Top 25% of tracked players

1,293MVPs

606Hours (in match)

958Bombs planted

140Bombs defused

Most-used weapons

M4A4 / M4A1-S4,621

AK-474,423

SCAR-203,642

Desert Eagle2,401

Galil AR1,351

AUG1,236

AWP1,154

XM10141,063

P2000 / USP-S1,004

MP7952

Lifetime map wins

3,634dust2

2,596inferno

1,185nuke

133vertigo

63train

26safehouse

19ar_shoots

19lake

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

33.4%Accuracy (enemy spotted)

31.4%Spray accuracy

70.3%Counter-strafing

10.7°Preaim

667msReaction time

30.3%T opening success

31.3%CT opening success

0.75Enemies flashed / flash

3.4%Flash assists

4.66HE damage / grenade

5.17Flashes / 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.

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 11.6066% — below the 15% mark we flag
Aim Training →
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 30.303% — 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.

32% win rate across 34 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
mirage	13–11	-0.10	9%	23 Aug →
inferno	13–6	-0.03	26%	23 Aug →
dust2	11–13	0.04	11%	15 Aug →
inferno	13–3	0.00	11%	15 Aug →
nuke	13–6	-0.06	4%	15 Aug →
dust2	13–6	-0.00	22%	15 Aug →
mirage	13–5	-0.03	20%	15 Aug →
inferno	10–13	-0.07	3%	15 Aug →
dust2	7–13	-0.12	26%	15 Aug →
dust2	10–13	-0.04	7%	15 Aug →
nuke	14–16	-0.02	23%	14 Aug →
inferno	13–4	-0.01	16%	14 Aug →
dust2	12–16	0.00	17%	14 Aug →
dust2	13–8	-0.06	18%	14 Aug →
cache	5–13	-0.07	4%	10 Aug →
inferno	1–13	-0.07	7%	9 Aug →
dust2	16–14	-0.06	9%	9 Aug →
nuke	16–14	-0.05	9%	9 Aug →
inferno	10–13	-0.07	2%	9 Aug →
mirage	6–13	-0.03	18%	8 Aug →
nuke	4–13	-0.08	19%	7 Aug →
mirage	13–2	0.05	6%	7 Aug →
dust2	6–13	-0.01	8%	7 Aug →
inferno	13–6	0.07	6%	7 Aug →
dust2	10–13	-0.07	9%	7 Aug →
cache	13–9	0.02	7%	7 Aug →
dust2	13–8	-0.06	7%	7 Aug →
dust2	13–10	-0.03	10%	7 Aug →
nuke	9–13	-0.06	4%	7 Aug →
mirage	9–13	-0.00	10%	6 Aug →
dust2	4–13	-0.05	22%	6 Aug →
inferno	13–6	-0.05	16%	6 Aug →
dust2	7–13	-0.08	4%	6 Aug →
inferno	6–13	-0.04	8%	6 Aug →
nuke	9–13	-0.05	9%	5 Aug →
dust2	7–13	-0.05	7%	5 Aug →
dust2	4–13	-0.07	6%	5 Aug →
cache	1–13	-0.13	17%	5 Aug →
mirage	8–13	-0.07	6%	5 Aug →
cache	5–13	-0.05	15%	1 Aug →
mirage	7–13	-0.00	26%	1 Aug →
nuke	13–9	-0.04	5%	1 Aug →
dust2	13–8	-0.05	15%	1 Aug →
nuke	13–5	-0.01	14%	1 Aug →
cache	5–13	-0.07	21%	1 Aug →
inferno	9–13	-0.04	17%	1 Aug →
mirage	13–5	-0.01	7%	31 Jul →
dust2	13–6	-0.04	14%	31 Jul →
mirage	13–11	-0.05	15%	31 Jul →
nuke	13–10	0.03	11%	31 Jul →
dust2	8–13	-0.11	8%	31 Jul →
inferno	8–13	-0.03	25%	31 Jul →
mirage	14–16	-0.03	13%	31 Jul →
mirage	9–13	0.05	6%	29 Jul →
nuke	5–13	0.01	8%	29 Jul →
nuke	11–13	-0.06	3%	26 Jul →
inferno	13–6	0.06	16%	25 Jul →
dust2	11–13	-0.04	19%	25 Jul →
nuke	13–11	-0.00	13%	25 Jul →
inferno	2–13	-0.08	9%	25 Jul →
mirage	10–13	-0.02	9%	24 Jul →
nuke	1–13	-0.11	9%	24 Jul →
mirage	6–13	-0.07	9%	24 Jul →
dust2	13–10	-0.06	13%	24 Jul →
cache	9–13	-0.08	12%	24 Jul →
inferno	13–1	-0.01	24%	24 Jul →
dust2	13–9	0.00	7%	24 Jul →
dust2	13–4	-0.03	10%	24 Jul →
inferno	13–4	-0.06	0%	19 Jul →
inferno	5–13	-0.08	17%	17 Jul →
inferno	13–5	-0.07	10%	17 Jul →
dust2	5–13	-0.08	16%	17 Jul →
inferno	13–4	-0.06	0%	17 Jul →
inferno	15–15	-0.08	14%	17 Jul →
mirage	15–15	-0.06	14%	17 Jul →
dust2	0–13	-0.07	8%	17 Jul →
mirage	0–13	-0.09	5%	17 Jul →
mirage	13–6	-0.05	7%	17 Jul →
dust2	10–13	-0.04	10%	17 Jul →
dust2	7–13	-0.02	10%	17 Jul →
dust2	4–13	-0.05	13%	16 Jul →
nuke	13–10	-0.02	11%	16 Jul →
dust2	8–13	-0.08	10%	16 Jul →
dust2	6–13	0.00	14%	16 Jul →
dust2	15–15	-0.00	8%	16 Jul →
dust2	11–13	-0.03	10%	16 Jul →
nuke	13–3	0.05	20%	15 Jul →
inferno	7–13	0.03	20%	15 Jul →
mirage	11–13	-0.06	20%	15 Jul →
cache	13–2	-0.05	23%	15 Jul →
inferno	13–1	0.08	11%	15 Jul →
mirage	1–13	0.02	14%	14 Jul →
anubis	13–7	-0.03	11%	14 Jul →
inferno	2–13	-0.06	11%	14 Jul →
dust2	3–13	-0.09	29%	14 Jul →
cache	13–7	0.03	7%	14 Jul →
dust2	7–13	-0.07	16%	14 Jul →
mirage	7–13	-0.03	12%	14 Jul →
dust2	13–6	0.06	16%	14 Jul →
nuke	9–13	-0.02	7%	13 Jul →