Dasko — CS2 Stats

US76561198061867039[U:1:101601311]Steam profile ↗

3,692Tracked matches53%Win rate2020Tracked since

5,467Hours in CS25Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 8 · 1,884 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning64

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWLLWLWWLLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.8

Aggression8.1

Utility6.8

Positioning6.4

Opening Duels5.0

Clutch3.8

Strong CT-side openerEffective flashes

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 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency.

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 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.8

Positioning6.4

Utility6.8

Mechanics5.9

Opening Duels5.0

Win Impact6.1

Composite 6.3/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time536ms−69ms

first ⅓ avg 605ms → last ⅓ avg 536ms

Headshot accuracy15.9%−0.6%

first ⅓ avg 16.5% → last ⅓ avg 15.9%

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

0.13Best rating — mirage 13–2

13–2Biggest win — anubis

6Longest win streak

13–7In matches decided by ≤2 rounds

19Overtime games

Map breakdown

mirageBest map · 65% over 34infernoWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	34	22–12	65%	0.03
anubis	B	20	10–10	50%	0.02
dust2	C	19	7–12	37%	0.01
ancient	A	15	9–6	60%	0.01
inferno	D	6	0–6	0%	0.03
cache	—	3	1–2	33%	0.02
nuke	—	2	1–1	50%	0.06
vertigo	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

168,180Lifetime kills

1.32K/D · Top 10% of tracked players

6,824Matches

41.6%Match win rate

57.8%Headshot % · Top 25% of tracked players

6.6%Shot accuracy

14,506MVPs

3,198Hours (in match)

7,576Bombs planted

1,955Bombs defused

Most-used weapons

AK-4787,288

M4A4 / M4A1-S23,291

P2000 / USP-S8,131

AWP7,591

Desert Eagle5,207

Glock-184,679

Galil AR3,491

MP92,756

FAMAS2,723

MAC-102,351

Lifetime map wins

10,116dust2

6,322inferno

5,481nuke

2,779vertigo

1,531train

465cbble

323office

65dust

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

Faceit stats

Combat

1,063Matches

50%Win rate

1.13Avg K/D

87.5ADR

42%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	256	49%	1.09	17.7
Anubis	239	53%	1.22	18.2
Ancient	188	53%	1.14	17.8
Dust2	132	43%	1.06	17.2
Inferno	86	44%	1.02	17.4
Nuke	62	52%	1.17	18.0
Vertigo	49	67%	1.17	18.4
Train	26	58%	1.25	17.6

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.

16.2%Headshot accuracy

36.4%Accuracy (enemy spotted)

43.9%Spray accuracy

76.3%Counter-strafing

9.6°Preaim

525msReaction time

38.0%T opening success

61.7%CT opening success

0.73Enemies flashed / flash

8.4%Flash assists

7.84HE damage / grenade

21.05Flashes / 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 37.9692% — below the 40% mark we flag

Spend your practice time on Inferno

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	22–20	0.04	11%	24 Aug →
anubis	9–13	-0.02	26%	24 Aug →
dust2	4–13	-0.07	11%	24 Aug →
mirage	16–14	0.05	36%	24 Aug →
dust2	9–13	-0.01	13%	23 Aug →
mirage	13–11	0.09	15%	23 Aug →
mirage	13–8	0.04	19%	23 Aug →
ancient	11–13	-0.00	17%	22 Aug →
ancient	15–19	-0.01	11%	20 Aug →
inferno	11–13	0.04	19%	20 Aug →
anubis	14–16	0.02	13%	18 Aug →
mirage	8–13	-0.04	15%	18 Aug →
mirage	9–13	0.01	9%	18 Aug →
dust2	13–9	0.03	9%	17 Aug →
cache	13–10	0.03	15%	17 Aug →
mirage	16–14	0.03	20%	16 Aug →
cache	10–13	0.03	13%	16 Aug →
mirage	13–10	0.02	15%	16 Aug →
vertigo	13–10	0.02	13%	15 Aug →
anubis	8–13	0.09	14%	13 Aug →
mirage	5–13	0.01	17%	13 Aug →
anubis	13–4	-0.04	22%	12 Aug →
mirage	13–10	-0.01	18%	12 Aug →
ancient	13–11	-0.01	11%	12 Aug →
mirage	7–13	0.07	22%	11 Aug →
ancient	13–7	0.06	13%	11 Aug →
mirage	19–16	0.10	17%	10 Aug →
mirage	13–4	-0.02	22%	10 Aug →
ancient	7–13	-0.01	19%	10 Aug →
ancient	13–8	0.02	10%	9 Aug →
dust2	5–13	-0.01	10%	9 Aug →
dust2	13–5	-0.05	23%	9 Aug →
anubis	11–13	-0.03	7%	9 Aug →
anubis	7–13	-0.01	13%	6 Aug →
dust2	13–6	0.01	15%	6 Aug →
anubis	5–13	0.00	6%	6 Aug →
mirage	13–9	0.00	19%	6 Aug →
anubis	12–16	0.04	14%	5 Aug →
inferno	10–13	0.05	12%	5 Aug →
mirage	13–16	0.04	9%	5 Aug →
ancient	13–11	0.01	15%	4 Aug →
anubis	4–13	-0.01	17%	4 Aug →
anubis	13–4	0.04	4%	4 Aug →
mirage	16–14	0.04	24%	2 Aug →
anubis	13–3	0.04	13%	2 Aug →
dust2	12–16	-0.01	15%	2 Aug →
mirage	13–10	0.07	15%	2 Aug →
dust2	16–14	0.03	25%	1 Aug →
anubis	16–14	0.02	8%	1 Aug →
mirage	15–19	-0.02	15%	1 Aug →
mirage	13–4	0.03	20%	1 Aug →
ancient	13–11	-0.01	10%	1 Aug →
dust2	9–13	0.05	26%	31 Jul →
inferno	11–13	0.07	20%	31 Jul →
nuke	13–6	0.08	19%	31 Jul →
inferno	4–13	0.04	14%	27 Jul →
mirage	16–12	-0.01	20%	26 Jul →
ancient	13–10	0.01	14%	26 Jul →
anubis	16–13	0.07	9%	25 Jul →
mirage	16–13	0.04	8%	25 Jul →
dust2	6–13	-0.02	30%	25 Jul →
mirage	13–7	0.06	15%	25 Jul →
mirage	8–13	0.03	19%	25 Jul →
anubis	3–13	0.04	18%	24 Jul →
anubis	10–13	0.01	16%	24 Jul →
dust2	5–13	0.11	17%	23 Jul →
dust2	13–11	0.02	29%	21 Jul →
mirage	7–13	-0.05	11%	21 Jul →
mirage	13–3	0.09	28%	20 Jul →
dust2	8–13	0.00	11%	20 Jul →
dust2	21–25	0.02	9%	19 Jul →
anubis	13–8	0.07	12%	19 Jul →
mirage	13–3	-0.01	19%	18 Jul →
anubis	13–7	0.03	13%	18 Jul →
dust2	13–11	0.02	13%	16 Jul →
mirage	19–22	0.07	20%	15 Jul →
ancient	13–8	0.06	9%	12 Jul →
anubis	13–7	0.01	18%	12 Jul →
mirage	13–7	0.06	18%	12 Jul →
anubis	13–2	0.05	11%	11 Jul →
mirage	13–10	0.02	17%	11 Jul →
dust2	13–5	-0.01	12%	11 Jul →
ancient	8–13	-0.01	12%	10 Jul →
ancient	13–11	-0.03	19%	10 Jul →
inferno	10–13	-0.02	23%	10 Jul →
nuke	4–13	0.05	21%	10 Jul →
mirage	13–2	0.13	29%	10 Jul →
mirage	9–13	0.04	18%	10 Jul →
ancient	6–13	0.01	15%	10 Jul →
mirage	13–9	0.01	18%	10 Jul →
ancient	13–8	0.06	18%	9 Jul →
cache	7–13	-0.02	6%	9 Jul →
mirage	12–12	-0.01	19%	9 Jul →
dust2	10–13	-0.00	8%	9 Jul →
dust2	10–13	0.01	24%	8 Jul →
inferno	20–22	-0.02	19%	6 Jul →
mirage	3–13	0.04	13%	6 Jul →
anubis	13–6	0.06	24%	6 Jul →
ancient	11–13	-0.01	13%	5 Jul →
dust2	6–13	0.02	25%	5 Jul →