genuinehotdogs — CS2 Stats

US76561197997838805[U:1:37573077]Steam profile ↗✓ No bans

611Tracked matches52%Win rate2023Tracked since

CSDB Rating4.1 Developing

Ladder ranks via Leetify

Performance scores

Aim32

Positioning47

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY47–44–9Last 10047%Win rateLWWLLWWWLW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim3.2

Aggression5.4

Utility4.7

Positioning4.7

Opening Duels1.1

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 78% 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. 646ms 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

Aim3.2

Positioning4.7

Utility4.7

Mechanics5.5

Opening Duels1.1

Win Impact5.6

Composite 4.1/10 (Developing), 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 rating-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time650ms−5ms

first ⅓ avg 655ms → last ⅓ avg 650ms

Headshot accuracy12.2%−0.2%

first ⅓ avg 12.4% → last ⅓ avg 12.2%

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

0.10Best rating — mirage 13–1

13–0Biggest win — train

6Longest win streak

5–5In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 83% over 6officeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	22	8–14	36%	-0.02
inferno	B	15	7–8	47%	-0.02
nuke	A	14	8–6	57%	-0.02
mirage	B	14	7–7	50%	-0.01
cache	D	7	2–5	29%	-0.06
ancient	S	6	5–1	83%	-0.03
train	B	6	3–3	50%	-0.05
office	D	5	1–4	20%	-0.02
vertigo	—	3	1–2	33%	-0.02
overpass	—	3	1–2	33%	-0.01
anubis	—	2	1–1	50%	-0.08
agency	—	1	1–0	100%	0.03
golden	—	1	1–0	100%	0.03
palacio	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.0%Headshot accuracy

29.5%Accuracy (enemy spotted)

27.1%Spray accuracy

74.7%Counter-strafing

11.1°Preaim

646msReaction time

33.4%T opening success

35.6%CT opening success

0.56Enemies flashed / flash

6.0%Flash assists

12.15HE damage / grenade

5.00Flashes / 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.

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 12% — below the 15% mark we flag
Aim Training →
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 33.3883% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	11–13	-0.04	16%	28 Aug →
ancient	13–7	-0.02	4%	28 Aug →
inferno	13–2	0.03	23%	28 Aug →
anubis	7–13	-0.11	7%	28 Aug →
dust2	9–13	-0.09	5%	27 Aug →
nuke	13–5	0.01	22%	22 Aug →
nuke	13–6	0.05	0%	21 Aug →
dust2	13–4	0.04	9%	18 Aug →
train	3–13	-0.09	14%	17 Aug →
inferno	13–8	-0.05	3%	17 Aug →
mirage	7–13	-0.05	6%	17 Aug →
inferno	13–5	-0.01	15%	16 Aug →
inferno	13–8	0.02	9%	10 Aug →
mirage	9–13	0.06	14%	10 Aug →
nuke	6–13	-0.05	14%	4 Aug →
cache	12–12	-0.05	6%	2 Aug →
dust2	12–12	-0.04	20%	1 Aug →
cache	6–13	-0.02	6%	1 Aug →
train	13–0	0.02	12%	1 Aug →
ancient	7–13	-0.08	9%	31 Jul →
inferno	13–11	0.00	22%	30 Jul →
vertigo	10–13	-0.03	8%	28 Jul →
vertigo	11–13	-0.05	16%	25 Jul →
dust2	13–11	0.03	11%	23 Jul →
dust2	10–13	-0.05	21%	23 Jul →
dust2	13–4	-0.04	8%	20 Jul →
cache	5–13	-0.06	17%	20 Jul →
inferno	12–12	-0.02	15%	20 Jul →
dust2	13–10	0.03	18%	18 Jul →
mirage	13–1	0.10	7%	18 Jul →
nuke	7–13	-0.03	13%	17 Jul →
mirage	4–0	-0.03	22%	17 Jul →
dust2	7–13	-0.03	9%	17 Jul →
office	12–12	-0.04	36%	17 Jul →
ancient	7–1	-0.01	43%	12 Jul →
nuke	12–12	-0.04	12%	12 Jul →
dust2	11–13	0.02	17%	12 Jul →
dust2	13–9	0.03	21%	12 Jul →
inferno	12–12	-0.04	3%	11 Jul →
mirage	7–13	-0.02	15%	9 Jul →
cache	11–13	-0.09	23%	9 Jul →
nuke	13–10	-0.02	22%	4 Jul →
dust2	12–12	-0.07	16%	4 Jul →
cache	13–9	-0.06	9%	1 Jul →
dust2	12–12	0.01	12%	29 Jun →
dust2	9–4	-0.00	15%	29 Jun →
overpass	13–11	-0.02	18%	28 Jun →
nuke	13–11	-0.02	7%	28 Jun →
inferno	3–13	-0.05	7%	28 Jun →
mirage	6–13	-0.06	15%	28 Jun →
dust2	4–13	-0.04	16%	27 Jun →
mirage	7–13	-0.03	16%	21 Jun →
dust2	6–13	-0.03	19%	21 Jun →
train	13–3	0.03	13%	21 Jun →
inferno	5–13	-0.04	12%	14 Jun →
mirage	13–9	-0.03	20%	14 Jun →
dust2	4–13	-0.06	20%	14 Jun →
mirage	3–13	-0.04	19%	13 Jun →
inferno	4–13	-0.06	14%	12 Jun →
nuke	7–13	-0.04	19%	12 Jun →
ancient	13–5	-0.01	9%	12 Jun →
dust2	13–4	-0.01	0%	11 Jun →
dust2	7–13	-0.02	9%	11 Jun →
overpass	10–13	-0.03	12%	7 Jun →
inferno	13–8	-0.02	17%	1 Jun →
nuke	2–13	-0.11	13%	1 Jun →
anubis	13–9	-0.06	8%	1 Jun →
cache	13–3	-0.05	18%	24 May →
ancient	13–6	-0.02	4%	22 May →
cache	10–13	-0.10	3%	22 May →
inferno	10–13	0.03	20%	5 Apr →
dust2	11–13	-0.01	11%	5 Apr →
overpass	10–13	0.00	15%	20 Feb →
dust2	8–13	-0.04	11%	15 Feb →
dust2	9–13	-0.11	13%	31 Jan →
nuke	13–10	-0.04	10%	18 Jan →
inferno	13–5	-0.03	16%	18 Jan →
agency	13–7	0.03	18%	10 Jan →
mirage	13–7	0.04	7%	10 Jan →
train	9–13	-0.12	4%	1 Jan →
inferno	9–13	0.04	13%	31 Dec →
dust2	12–7	0.06	18%	26 Dec →
mirage	9–13	-0.07	16%	25 Dec →
train	12–12	-0.08	13%	25 Dec →
nuke	13–9	-0.03	12%	25 Dec →
mirage	13–2	-0.04	10%	21 Dec →
nuke	13–9	-0.01	10%	21 Dec →
mirage	13–4	0.06	13%	14 Dec →
golden	13–7	0.03	9%	13 Dec →
ancient	13–4	-0.06	20%	13 Dec →
office	5–13	-0.06	30%	13 Dec →
palacio	13–7	0.03	12%	3 Dec →
office	6–13	0.02	4%	2 Dec →
inferno	9–13	-0.07	22%	1 Dec →
mirage	13–6	0.02	10%	30 Nov →
office	13–9	-0.01	8%	30 Nov →
train	13–11	-0.05	8%	30 Nov →
vertigo	13–8	0.03	6%	30 Nov →
office	1–13	0.01	19%	29 Nov →
nuke	13–4	0.02	7%	29 Nov →