Δημήτριος — CS2 Stats

GR76561198219434323[U:1:259168595]Steam profile ↗

2,546Tracked matches39%Win rate2021Tracked since

3,214Hours in CS18Hrs last 2 wks

CSDB Rating3.7 Learning

Premier CS Rating14,537Blue band · top ~30.8% of ranked players (population est.)

CSDB Leaderboard#12367 of 18781 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim48

Positioning42

Utility32

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateLLTLWWWLLL

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Aim4.8

Aggression3.3

Utility3.2

Positioning4.2

Opening Duels0.0

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 74% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 600ms 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

Aim4.8

Positioning4.2

Utility3.2

Mechanics6.6

Opening Duels0.5

Win Impact1.4

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time612ms−28ms

first ⅓ avg 640ms → last ⅓ avg 612ms

Headshot accuracy14.5%−0.7%

first ⅓ avg 15.2% → last ⅓ avg 14.5%

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

0.09Best rating — mirage 13–5

13–2Biggest win — inferno

5Longest win streak

L2Current streak

10–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 56% over 16ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	24	10–14	42%	-0.03
inferno	C	16	7–9	44%	-0.03
dust2	A	16	9–7	56%	-0.02
anubis	C	12	5–7	42%	-0.06
cache	D	10	3–7	30%	-0.05
mirage	B	8	4–4	50%	0.01
ancient	D	6	1–5	17%	-0.05
vertigo	—	3	1–2	33%	-0.03
train	—	2	1–1	50%	0.00
poseidon	—	1	0–1	0%	-0.12
eldorado	—	1	0–1	0%	-0.07
overpass	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

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

Lifetime stats

68,468Lifetime kills

0.78K/D

4,222Matches

38.2%Match win rate

43.4%Headshot %

6.6%Shot accuracy

6,625MVPs

1,469Hours (in match)

4,944Bombs planted

775Bombs defused

Most-used weapons

AK-4725,022

M4A4 / M4A1-S13,498

P2000 / USP-S3,950

AWP3,143

Galil AR3,108

Glock-182,987

MP92,423

Desert Eagle2,339

MAC-102,009

FAMAS1,476

Lifetime map wins

6,975dust2

5,656inferno

5,531nuke

1,633train

1,486vertigo

391office

136italy

90cbble

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

Faceit stats

Combat

32Matches

34%Win rate

0.68Avg K/D

—ADR

35%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	2	0%	0.64	15.0
Nuke	2	0%	0.64	10.5
Anubis	2	50%	0.78	10.5
Inferno	1	100%	1.07	15.0
Ancient	1	0%	0.69	11.0
Mirage	1	0%	0.14	2.0

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.

13.9%Headshot accuracy

31.9%Accuracy (enemy spotted)

32.3%Spray accuracy

79.7%Counter-strafing

12.1°Preaim

600msReaction time

22.1%T opening success

34.2%CT opening success

0.57Enemies flashed / flash

0.3%Flash assists

7.80HE damage / grenade

3.56Flashes / 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 12.1007° — above the 12° mark we flag
Aim Training →
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 13.9453% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.555 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	9–13	-0.04	12%	27 Aug →
poseidon	4–9	-0.12	29%	27 Aug →
vertigo	8–8	0.01	13%	27 Aug →
eldorado	2–9	-0.07	18%	27 Aug →
dust2	13–11	-0.06	7%	27 Aug →
anubis	16–14	-0.03	8%	24 Aug →
inferno	13–10	-0.03	14%	22 Aug →
cache	4–13	-0.07	10%	22 Aug →
dust2	3–13	-0.09	18%	18 Aug →
cache	1–13	-0.10	11%	17 Aug →
inferno	1–13	-0.04	12%	17 Aug →
cache	13–11	0.00	5%	16 Aug →
inferno	13–2	0.05	11%	16 Aug →
train	13–10	-0.01	8%	15 Aug →
train	10–13	0.02	12%	15 Aug →
inferno	9–13	-0.05	8%	14 Aug →
dust2	9–13	-0.06	15%	14 Aug →
inferno	15–15	-0.09	14%	9 Aug →
cache	4–13	0.01	9%	9 Aug →
nuke	9–13	0.01	18%	9 Aug →
dust2	13–9	-0.02	16%	9 Aug →
cache	10–13	-0.07	20%	9 Aug →
nuke	11–13	0.00	21%	9 Aug →
anubis	3–13	-0.05	12%	9 Aug →
inferno	10–13	-0.05	19%	9 Aug →
dust2	13–8	0.01	7%	9 Aug →
nuke	6–13	-0.04	22%	7 Aug →
nuke	15–15	0.01	19%	6 Aug →
overpass	13–11	-0.03	17%	6 Aug →
dust2	11–13	-0.07	15%	5 Aug →
dust2	13–9	-0.01	14%	4 Aug →
dust2	8–13	-0.03	21%	3 Aug →
vertigo	13–5	-0.04	23%	3 Aug →
vertigo	4–13	-0.04	11%	3 Aug →
ancient	12–16	-0.04	18%	2 Aug →
mirage	13–2	0.06	23%	29 Jul →
dust2	13–11	0.05	20%	28 Jul →
nuke	13–7	0.01	13%	28 Jul →
nuke	13–8	-0.03	17%	28 Jul →
anubis	4–13	-0.05	13%	26 Jul →
inferno	4–13	0.01	21%	26 Jul →
nuke	7–13	-0.03	14%	25 Jul →
inferno	13–11	-0.04	30%	25 Jul →
nuke	13–11	-0.03	7%	25 Jul →
mirage	11–13	0.02	13%	24 Jul →
inferno	4–13	-0.09	16%	22 Jul →
nuke	9–13	-0.05	7%	22 Jul →
nuke	15–15	-0.07	14%	22 Jul →
nuke	10–13	-0.08	18%	21 Jul →
dust2	13–10	-0.06	19%	21 Jul →
nuke	13–9	-0.02	17%	21 Jul →
anubis	13–10	-0.04	8%	21 Jul →
cache	5–0	-0.01	13%	21 Jul →
nuke	13–9	-0.02	18%	21 Jul →
inferno	9–13	0.02	19%	20 Jul →
ancient	4–13	-0.03	22%	20 Jul →
anubis	3–13	-0.10	23%	20 Jul →
cache	13–8	-0.09	7%	19 Jul →
dust2	7–13	-0.01	16%	19 Jul →
cache	8–13	-0.05	9%	19 Jul →
inferno	13–7	-0.07	9%	18 Jul →
mirage	1–13	-0.02	8%	18 Jul →
inferno	16–13	-0.04	19%	18 Jul →
dust2	13–10	0.01	27%	17 Jul →
cache	7–13	-0.03	29%	17 Jul →
dust2	9–13	-0.06	13%	15 Jul →
mirage	11–13	-0.02	13%	14 Jul →
mirage	13–5	0.09	8%	14 Jul →
dust2	11–13	-0.02	14%	14 Jul →
ancient	11–13	-0.05	14%	14 Jul →
anubis	13–10	-0.08	11%	14 Jul →
dust2	13–11	0.03	24%	14 Jul →
nuke	9–13	-0.04	18%	13 Jul →
nuke	5–13	-0.06	17%	13 Jul →
nuke	4–13	-0.02	9%	12 Jul →
mirage	13–6	0.02	11%	12 Jul →
dust2	13–9	0.08	24%	12 Jul →
nuke	13–10	-0.06	13%	12 Jul →
nuke	4–13	-0.05	20%	12 Jul →
anubis	8–13	-0.06	9%	12 Jul →
nuke	4–13	-0.09	10%	12 Jul →
ancient	5–13	-0.09	15%	12 Jul →
nuke	13–7	-0.03	8%	12 Jul →
mirage	6–13	-0.05	13%	11 Jul →
inferno	13–6	-0.04	19%	11 Jul →
nuke	13–2	0.01	15%	10 Jul →
anubis	3–13	-0.12	14%	10 Jul →
mirage	13–9	0.00	19%	10 Jul →
anubis	7–13	-0.09	19%	9 Jul →
ancient	13–9	-0.00	21%	9 Jul →
cache	9–13	-0.06	20%	9 Jul →
anubis	16–14	-0.03	7%	9 Jul →
inferno	13–11	0.02	17%	9 Jul →
nuke	13–16	-0.04	19%	6 Jul →
inferno	11–13	-0.05	18%	5 Jul →
ancient	15–15	-0.06	16%	5 Jul →
nuke	13–6	-0.04	10%	5 Jul →
anubis	13–10	-0.01	22%	5 Jul →
anubis	7–13	-0.04	15%	5 Jul →
nuke	13–5	-0.04	8%	5 Jul →