dikas — CS2 Stats

PT76561198034919355[U:1:74653627]Steam profile ↗✓ No bans

430Tracked matches50%Win rate2023Tracked since

CSDB Rating4.6 Developing

Premier CS Rating13,919Blue band · top ~34.1% of ranked players (population est.)

CSDB Leaderboard#36358 of 57222 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim42

Positioning58

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLLWWLWLWWL

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

Player DNA

Aim4.2

Aggression6.1

Utility6.2

Positioning5.8

Opening Duels4.0

Clutch0.0

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 iM 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.2

Positioning5.8

Utility6.2

Mechanics4.1

Opening Duels4.0

Win Impact5.0

Composite 4.6/10 (Developing), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time605ms−47ms

first ⅓ avg 652ms → last ⅓ avg 605ms

Headshot accuracy24.5%+2.5%

first ⅓ avg 22.0% → last ⅓ avg 24.5%

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

0.16Best rating — vertigo 9–1

13–1Biggest win — nuke

5Longest win streak

L2Current streak

4–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 63% over 8dust2Weakest map · 37% over 19

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	25	15–10	60%	0.00
dust2	C	19	7–12	37%	-0.01
mirage	C	16	7–9	44%	-0.00
anubis	A	14	8–6	57%	0.02
ancient	A	9	5–4	56%	-0.00
nuke	A	8	5–3	63%	-0.00
train	—	4	2–2	50%	0.05
cache	—	2	1–1	50%	0.03
overpass	—	1	0–1	0%	-0.05
vertigo	—	1	1–0	100%	0.16
brewery	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

557Matches

50%Win rate

0.99Avg K/D

83.5ADR

51%Headshot %

Clutches & streaks

20%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	17	65%	1.06	17.0
Ancient	14	57%	1.06	18.5
Mirage	13	38%	0.85	16.3
Inferno	13	85%	1.19	18.8
Vertigo	8	12%	0.87	13.3
Nuke	6	67%	1.04	15.5
Dust2	5	80%	1.26	20.4
Overpass	2	0%	0.95	19.0

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.

23.8%Headshot accuracy

25.6%Accuracy (enemy spotted)

29.9%Spray accuracy

68.5%Counter-strafing

11.3°Preaim

612msReaction time

29.8%T opening success

62.3%CT opening success

0.73Enemies flashed / flash

7.3%Flash assists

11.27HE damage / grenade

6.19Flashes / 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 29.8104% — 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.

37% win rate across 19 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
ancient	6–13	-0.08	18%	3 Jun →
inferno	8–13	-0.01	34%	3 Jun →
mirage	13–7	0.01	33%	2 Jun →
anubis	13–11	-0.00	21%	2 Jun →
inferno	5–13	0.02	23%	1 Jun →
dust2	13–5	-0.01	23%	1 Jun →
dust2	5–13	-0.11	21%	31 May →
inferno	13–10	0.06	17%	30 May →
anubis	13–6	0.05	33%	30 May →
dust2	6–13	-0.04	29%	30 May →
nuke	13–6	0.03	28%	29 May →
anubis	13–6	0.02	30%	29 May →
inferno	13–7	-0.01	23%	29 May →
dust2	9–13	-0.03	19%	27 May →
nuke	16–13	-0.04	24%	27 May →
ancient	10–13	-0.00	17%	25 May →
dust2	13–8	-0.02	15%	25 May →
inferno	9–3	0.12	33%	25 May →
inferno	10–13	-0.01	41%	24 May →
dust2	9–13	0.04	23%	24 May →
anubis	13–7	0.03	29%	24 May →
ancient	7–13	-0.03	20%	23 May →
dust2	9–13	-0.00	12%	22 May →
nuke	11–13	-0.03	25%	22 May →
anubis	6–13	-0.02	30%	22 May →
inferno	13–10	0.06	18%	22 May →
mirage	6–13	-0.01	41%	22 May →
ancient	13–10	-0.02	17%	21 May →
mirage	13–7	0.01	20%	21 May →
anubis	10–13	-0.00	21%	21 May →
dust2	13–10	-0.01	16%	21 May →
mirage	13–4	-0.02	30%	21 May →
ancient	13–2	0.14	28%	20 May →
mirage	13–5	0.05	29%	20 May →
anubis	11–13	0.05	29%	20 May →
dust2	16–13	-0.05	15%	19 May →
dust2	9–13	-0.01	13%	19 May →
inferno	7–13	-0.01	24%	19 May →
dust2	11–13	0.01	24%	16 May →
inferno	13–7	-0.02	17%	16 May →
overpass	3–13	-0.05	13%	16 May →
inferno	14–16	0.01	20%	14 May →
dust2	10–13	-0.00	23%	14 May →
nuke	13–1	0.10	37%	14 May →
dust2	13–9	0.04	17%	13 May →
mirage	2–13	-0.03	19%	13 May →
inferno	16–14	-0.01	21%	13 May →
train	11–13	0.04	26%	13 May →
ancient	13–9	-0.03	17%	12 May →
anubis	11–13	-0.00	18%	12 May →
inferno	5–13	-0.04	21%	12 May →
cache	11–13	0.04	25%	10 May →
dust2	9–13	-0.05	15%	10 May →
anubis	13–5	0.02	21%	10 May →
nuke	6–13	-0.07	45%	10 May →
inferno	13–9	0.03	14%	9 May →
mirage	14–16	-0.03	18%	9 May →
cache	13–6	0.03	37%	9 May →
nuke	15–15	-0.05	20%	13 Jul →
inferno	13–8	0.04	39%	1 Jul →
mirage	11–13	-0.04	25%	1 Jul →
mirage	7–13	-0.03	10%	27 Jun →
dust2	13–9	0.00	23%	27 Jun →
inferno	5–13	-0.05	11%	27 Jun →
inferno	5–13	-0.05	13%	21 Jun →
mirage	13–8	-0.06	4%	21 Jun →
anubis	13–11	-0.00	21%	20 Jun →
nuke	13–4	0.00	27%	19 Jun →
vertigo	9–1	0.16	16%	19 Jun →
inferno	8–8	-0.06	19%	19 Jun →
inferno	9–4	-0.02	21%	4 Jun →
inferno	16–13	-0.03	33%	2 Jun →
mirage	16–13	0.09	19%	2 Jun →
dust2	2–13	-0.05	17%	30 May →
anubis	6–13	0.01	21%	30 May →
inferno	13–9	-0.01	12%	29 May →
anubis	13–3	0.10	27%	29 May →
mirage	6–13	-0.03	16%	17 May →
ancient	9–13	0.04	21%	17 May →
inferno	13–8	-0.01	25%	17 May →
mirage	2–13	-0.08	8%	17 May →
anubis	13–7	0.04	13%	17 May →
nuke	13–10	0.03	28%	17 May →
train	13–3	0.01	31%	17 May →
inferno	13–9	0.03	20%	16 May →
mirage	13–6	0.08	25%	16 May →
dust2	6–13	-0.05	18%	16 May →
ancient	13–4	-0.02	16%	16 May →
train	13–2	0.10	24%	16 May →
anubis	6–13	-0.05	23%	16 May →
inferno	13–9	0.03	23%	15 May →
mirage	11–13	0.02	25%	14 May →
ancient	13–11	-0.00	11%	14 May →
dust2	13–7	0.00	21%	14 May →
inferno	15–15	0.06	26%	13 May →
train	11–13	0.03	31%	13 May →
inferno	13–7	-0.06	27%	9 May →
mirage	12–12	0.01	26%	9 May →
dust2	10–13	0.07	39%	9 May →
brewery	8–8	-0.09	17%	9 May →