hruško — CS2 Stats

76561198195154562[U:1:234888834]✓ No bans

1,001Tracked matches69%Win rate2020Tracked since

2,307Hours in CS

CSDB Rating6.4 SolidHybrid Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim77

Positioning54

Utility64

0–100 skill scores via Leetify.

Recent form

HOT54–44–2Last 10054%Win rateWWWLLWWWWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.7

Aggression5.2

Utility6.4

Positioning5.4

Opening Duels1.3

Clutch4.0

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 93% 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 →

CSDB Rating breakdown

Aim7.7

Positioning5.4

Utility6.4

Mechanics6.0

Opening Duels1.3

Win Impact10.0

Composite 6.4/10 (Solid), 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 rating0.02+0.03

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time540ms−18ms

first ⅓ avg 559ms → last ⅓ avg 540ms

Headshot accuracy19.4%+3.4%

first ⅓ avg 15.9% → last ⅓ avg 19.4%

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

0.15Best rating — nuke 5–0

13–1Biggest win — inferno

5Longest win streak

W3Current streak

4–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 75% over 8ancientWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	20	9–11	45%	0.01
inferno	B	20	10–10	50%	0.01
mirage	A	19	12–7	63%	0.01
anubis	A	10	6–4	60%	-0.01
ancient	C	10	4–6	40%	0.01
overpass	A	9	5–4	56%	0.02
nuke	S	8	6–2	75%	0.06
train	—	2	0–2	0%	-0.02
vertigo	—	1	1–0	100%	0.06
cache	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,981Lifetime kills

1.17K/D · Top 25% of tracked players

5,904Matches

40.5%Match win rate

39.6%Headshot %

16.1%Shot accuracy · Top 25% of tracked players

13,349MVPs

2,307Hours (in match)

4,390Bombs planted

1,555Bombs defused

Most-used weapons

AK-4734,576

M4A4 / M4A1-S18,073

AWP17,410

Desert Eagle9,371

P2000 / USP-S7,672

Glock-183,671

P2502,444

SSG 082,333

Knife2,193

MP92,009

Lifetime map wins

11,522inferno

5,349dust2

2,723vertigo

1,546nuke

1,183train

697cbble

365office

265lake

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

Faceit stats

Combat

920Matches

52%Win rate

1.16Avg K/D

82.2ADR

40%Headshot %

Clutches & streaks

40%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	71	41%	1.18	17.0
Dust2	57	60%	1.30	16.8
Inferno	48	58%	1.61	16.1
Ancient	39	46%	1.30	16.7
Anubis	32	69%	1.32	20.2
Vertigo	16	44%	1.04	16.9
Nuke	12	42%	1.10	15.3
Train	1	100%	0.95	18.0

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.

18.6%Headshot accuracy

34.3%Accuracy (enemy spotted)

38.3%Spray accuracy

77.2%Counter-strafing

8.7°Preaim

526msReaction time

35.4%T opening success

34.7%CT opening success

0.65Enemies flashed / flash

8.7%Flash assists

7.83HE damage / grenade

13.27Flashes / 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 35.3893% — below the 40% mark we flag

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.

40% win rate across 10 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
anubis	13–10	0.02	21%	13 Jul →
dust2	13–9	0.02	15%	8 Jul →
nuke	13–4	0.08	20%	6 Jul →
anubis	11–13	-0.02	16%	5 Jul →
dust2	6–13	-0.02	19%	5 Jul →
nuke	13–2	0.04	28%	4 Jul →
mirage	13–7	-0.01	13%	4 Jul →
dust2	13–5	0.06	26%	3 Jul →
anubis	13–6	0.02	24%	3 Jul →
mirage	13–9	0.01	26%	3 Jul →
anubis	1–13	-0.03	33%	3 Jul →
overpass	13–7	0.05	11%	13 Jun →
nuke	5–0	0.15	29%	13 Jun →
overpass	16–13	-0.02	10%	13 Jun →
ancient	9–13	0.03	20%	12 Jun →
dust2	5–1	-0.01	25%	12 Jun →
mirage	13–8	0.02	31%	12 Jun →
vertigo	9–4	0.06	20%	9 Jun →
mirage	13–11	0.02	20%	9 Jun →
inferno	13–1	0.09	15%	9 Jun →
dust2	3–13	-0.01	10%	30 May →
inferno	4–13	0.03	16%	26 May →
anubis	13–6	0.02	18%	24 May →
cache	13–11	0.02	20%	20 May →
anubis	13–9	-0.04	9%	20 May →
mirage	13–11	-0.02	25%	13 May →
inferno	15–15	0.05	10%	25 Apr →
nuke	13–5	0.07	26%	11 Apr →
dust2	14–16	0.05	18%	25 Mar →
overpass	9–13	0.08	17%	6 Mar →
inferno	11–13	-0.03	15%	28 Feb →
dust2	13–4	0.02	17%	28 Feb →
ancient	13–8	-0.00	18%	28 Feb →
anubis	13–4	0.03	16%	25 Feb →
ancient	3–6	0.01	19%	21 Feb →
anubis	7–13	-0.09	24%	20 Feb →
dust2	13–10	0.01	33%	15 Feb →
inferno	11–13	-0.01	6%	14 Feb →
inferno	1–13	-0.09	19%	13 Feb →
inferno	8–13	0.02	17%	6 Feb →
mirage	16–12	0.09	13%	6 Feb →
mirage	11–13	0.04	23%	5 Feb →
mirage	13–5	-0.01	12%	5 Feb →
nuke	11–13	0.06	17%	4 Feb →
dust2	8–13	-0.01	16%	4 Feb →
inferno	13–10	-0.00	10%	1 Feb →
ancient	13–16	-0.02	16%	30 Jan →
anubis	13–8	0.01	16%	30 Jan →
dust2	13–5	-0.03	30%	30 Jan →
ancient	13–7	0.05	9%	30 Jan →
overpass	13–8	-0.03	5%	29 Jan →
anubis	11–13	-0.02	6%	29 Jan →
nuke	13–9	0.05	20%	29 Jan →
inferno	13–7	0.06	22%	28 Jan →
inferno	11–13	0.03	19%	23 Jan →
inferno	13–7	0.06	12%	22 Jan →
overpass	13–7	0.06	15%	15 Jan →
dust2	11–13	-0.01	14%	15 Jan →
inferno	13–7	0.01	12%	12 Jan →
overpass	15–15	0.03	15%	5 Jan →
mirage	13–6	0.01	24%	1 Jan →
dust2	13–5	0.09	19%	29 Dec →
overpass	4–13	-0.06	18%	28 Dec →
dust2	6–13	0.06	16%	28 Dec →
nuke	8–13	-0.03	20%	28 Dec →
mirage	10–13	0.00	15%	28 Dec →
inferno	13–4	-0.02	12%	27 Dec →
mirage	13–11	0.06	24%	27 Dec →
mirage	9–13	0.03	29%	24 Dec →
train	9–13	-0.02	23%	24 Dec →
mirage	13–9	0.01	14%	24 Dec →
dust2	4–13	-0.02	19%	3 Dec →
inferno	13–2	0.04	18%	3 Dec →
ancient	13–8	0.02	19%	3 Dec →
inferno	14–16	0.00	14%	3 Dec →
mirage	7–13	0.02	13%	3 Dec →
inferno	13–4	-0.03	11%	2 Dec →
overpass	13–16	0.04	15%	21 Nov →
dust2	7–13	-0.02	19%	21 Nov →
ancient	5–13	0.00	15%	20 Nov →
nuke	13–1	0.07	18%	17 Nov →
inferno	13–8	0.02	11%	14 Nov →
train	9–13	-0.03	12%	14 Nov →
dust2	13–9	-0.02	9%	14 Nov →
overpass	13–7	0.02	25%	14 Nov →
dust2	8–13	0.01	13%	14 Nov →
ancient	13–3	-0.01	7%	7 Nov →
ancient	7–13	0.02	13%	6 Nov →
ancient	12–16	0.03	15%	5 Nov →
dust2	13–8	-0.03	24%	29 Oct →
inferno	6–13	-0.01	18%	29 Oct →
mirage	13–9	0.05	18%	25 Oct →
inferno	9–13	-0.07	7%	24 Oct →
mirage	8–13	-0.00	13%	24 Oct →
mirage	13–4	-0.02	4%	23 Oct →
dust2	7–13	-0.04	11%	23 Oct →
mirage	5–13	-0.08	17%	21 Oct →
mirage	11–13	-0.06	23%	20 Oct →
dust2	7–13	-0.00	17%	11 Oct →
inferno	13–6	-0.03	17%	10 Oct →