hoogs — CS2 Stats

76561198012039598[U:1:51773870]1 game ban

4,181Tracked matches76%Win rate2020Tracked since

16,330Hours in CS

CSDB Rating7.8 StrongAggressive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim90

Positioning70

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY64–27–9Last 10064%Win rateWWWLLLWWWL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

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

Aim9.0

Aggression9.9

Utility6.6

Positioning7.0

Opening Duels4.8

Clutch4.4

Sharp aimerStrong 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 sh1ro 96% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

CT openings. 61% 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 61% on CT to 37% 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

Aim9.0

Positioning7.0

Utility6.6

Mechanics7.3

Opening Duels4.8

Win Impact10.0

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time537ms−13ms

first ⅓ avg 550ms → last ⅓ avg 537ms

Headshot accuracy26.0%+0.5%

first ⅓ avg 25.5% → last ⅓ avg 26.0%

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 — nuke 13–11

13–1Biggest win — cache

9Longest win streak

W3Current streak

7–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

trainBest map · 100% over 5dust2Weakest map · 52% over 21

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	21	11–10	52%	0.02
mirage	B	13	7–6	54%	0.06
inferno	S	12	8–4	67%	0.03
cache	S	11	8–3	73%	0.04
nuke	S	10	8–2	80%	0.04
ancient	A	10	6–4	60%	0.02
anubis	S	8	6–2	75%	0.03
train	S	5	5–0	100%	0.03
vertigo	—	4	2–2	50%	0.06
office	—	3	2–1	67%	-0.00
overpass	—	2	1–1	50%	0.00
boulder	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (52% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

641,667Lifetime kills

1.14K/D · Top 50% of tracked players

11,172Matches

55.8%Match win rate · Top 10% of tracked players

67.7%Headshot % · Top 5% of tracked players

17.0%Shot accuracy · Top 25% of tracked players

48,790MVPs

16,330Hours (in match)

9,291Bombs planted

3,454Bombs defused

Most-used weapons

AK-47340,525

AWP60,360

M4A4 / M4A1-S52,871

Desert Eagle51,587

P2000 / USP-S46,809

Glock-1815,489

SSG 0810,544

Galil AR5,917

P2505,462

FAMAS5,001

Lifetime map wins

22,215dust2

20,125inferno

13,565nuke

10,860train

6,093vertigo

3,113cbble

2,858office

845lake

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

Faceit stats

Combat

932Matches

59%Win rate

1.24Avg K/D

88.1ADR

52%Headshot %

Clutches & streaks

42%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	236	64%	1.25	17.7
Nuke	114	54%	1.13	17.7
Ancient	92	46%	1.17	19.6
Train	67	69%	1.28	18.1
Anubis	63	49%	1.32	18.0
Inferno	53	57%	1.26	17.3
Mirage	26	38%	1.02	17.5
Cache	8	25%	1.16	19.1

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.

24.8%Headshot accuracy

38.8%Accuracy (enemy spotted)

39.3%Spray accuracy

82.9%Counter-strafing

8.7°Preaim

529msReaction time

36.9%T opening success

61.2%CT opening success

0.71Enemies flashed / flash

9.6%Flash assists

18.17HE damage / grenade

7.36Flashes / 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 36.9299% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–11	0.16	21%	29 Aug →
cache	16–14	0.09	19%	29 Aug →
inferno	13–5	0.02	27%	29 Aug →
office	5–13	-0.00	21%	28 Aug →
dust2	11–13	0.01	19%	28 Aug →
inferno	11–13	-0.02	21%	28 Aug →
train	13–9	0.04	27%	22 Aug →
anubis	13–8	0.01	27%	22 Aug →
dust2	13–5	0.02	20%	22 Aug →
vertigo	10–13	0.01	24%	22 Aug →
ancient	13–11	0.05	14%	19 Aug →
dust2	13–11	0.01	25%	19 Aug →
nuke	13–7	0.06	21%	18 Aug →
dust2	3–13	-0.03	13%	16 Aug →
nuke	13–6	0.04	33%	16 Aug →
ancient	13–6	0.03	27%	15 Aug →
dust2	13–3	0.05	42%	15 Aug →
train	13–2	0.03	34%	15 Aug →
office	13–11	0.01	26%	15 Aug →
vertigo	13–6	0.08	20%	15 Aug →
mirage	12–12	0.02	32%	15 Aug →
nuke	13–10	0.01	21%	15 Aug →
inferno	8–0	0.00	31%	15 Aug →
dust2	9–13	0.01	23%	15 Aug →
ancient	9–13	-0.03	28%	14 Aug →
inferno	13–6	0.01	19%	12 Aug →
train	13–8	0.10	26%	12 Aug →
train	13–10	0.00	23%	9 Aug →
cache	13–6	0.11	33%	9 Aug →
mirage	13–2	0.15	50%	9 Aug →
dust2	13–2	0.09	25%	9 Aug →
anubis	13–11	0.06	32%	8 Aug →
dust2	13–10	-0.03	35%	8 Aug →
cache	13–10	0.16	28%	4 Aug →
nuke	9–13	0.01	26%	2 Aug →
dust2	13–8	0.07	19%	2 Aug →
boulder	11–13	0.04	17%	1 Aug →
office	13–7	-0.01	27%	1 Aug →
inferno	12–12	0.04	29%	1 Aug →
mirage	7–2	0.13	11%	1 Aug →
ancient	11–13	-0.01	22%	29 Jul →
ancient	19–16	0.00	17%	22 Jul →
ancient	10–13	-0.00	15%	13 Jul →
overpass	13–2	-0.03	17%	3 Jul →
anubis	10–13	-0.01	13%	3 Jul →
dust2	7–13	-0.03	22%	3 Jul →
nuke	13–7	0.01	21%	3 Jul →
mirage	13–10	0.03	24%	27 Jun →
vertigo	5–13	0.06	24%	27 Jun →
inferno	13–3	0.04	13%	27 Jun →
cache	10–13	-0.00	19%	27 Jun →
anubis	13–7	0.03	22%	27 Jun →
nuke	13–10	0.08	37%	27 Jun →
mirage	12–12	-0.02	22%	27 Jun →
dust2	13–6	0.07	38%	27 Jun →
ancient	13–5	0.01	19%	27 Jun →
inferno	13–10	0.16	27%	27 Jun →
anubis	6–1	0.04	14%	27 Jun →
cache	13–4	0.03	15%	27 Jun →
dust2	13–11	0.04	22%	27 Jun →
mirage	13–4	0.07	31%	27 Jun →
ancient	13–9	0.14	25%	27 Jun →
inferno	13–10	-0.02	26%	27 Jun →
mirage	6–13	0.04	31%	27 Jun →
cache	10–13	0.03	18%	27 Jun →
anubis	13–2	0.06	24%	21 Jun →
dust2	11–13	0.04	25%	21 Jun →
cache	13–9	-0.01	18%	21 Jun →
mirage	13–8	0.11	36%	20 Jun →
overpass	7–13	0.04	30%	20 Jun →
inferno	12–12	0.05	43%	20 Jun →
cache	13–1	0.02	30%	20 Jun →
dust2	13–3	0.04	26%	20 Jun →
mirage	13–8	0.10	28%	20 Jun →
dust2	12–12	0.01	18%	18 Jun →
ancient	16–12	0.07	33%	17 Jun →
inferno	13–7	0.03	22%	14 Jun →
train	13–4	-0.01	45%	14 Jun →
dust2	12–12	-0.03	18%	14 Jun →
mirage	12–12	0.06	23%	14 Jun →
cache	13–7	0.02	25%	14 Jun →
dust2	6–13	0.01	31%	14 Jun →
mirage	13–4	0.01	27%	13 Jun →
dust2	11–13	0.06	34%	30 May →
anubis	2–6	-0.00	17%	27 May →
nuke	13–5	0.01	21%	27 May →
cache	13–10	-0.04	13%	27 May →
dust2	13–6	-0.03	21%	27 May →
anubis	13–6	0.05	14%	27 May →
inferno	12–12	0.08	35%	26 May →
nuke	11–13	0.03	37%	25 May →
mirage	8–13	0.10	19%	25 May →
dust2	2–13	-0.04	15%	25 May →
vertigo	13–9	0.10	29%	25 May →
mirage	10–13	0.02	24%	25 May →
inferno	13–9	0.01	21%	25 May →
dust2	13–3	0.02	21%	25 May →
cache	12–12	0.00	25%	25 May →
ancient	1–13	-0.10	18%	25 May →
nuke	13–10	-0.01	24%	24 May →