Larry Patel — CS2 Stats

US76561197982548327[U:1:22282599]Steam profile ↗✓ No bans

1,732Tracked matches46%Win rate2023Tracked since

2,245Hours in CS10Hrs last 2 wks

CSDB Rating2.3 Learning

Ladder ranks via Leetify

Performance scores

Aim16

Positioning27

Utility33

0–100 skill scores via Leetify.

Recent form

COLD44–40–16Last 10044%Win rateLTLWWLLWLL

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

Player DNA

Aim1.6

Aggression0.0

Utility3.3

Positioning2.7

Opening Duels0.0

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 58% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 32% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 675ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim1.6

Positioning2.7

Utility3.3

Mechanics2.6

Opening Duels0.3

Win Impact3.7

Composite 2.3/10 (Learning), 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-0.05−0.01

first ⅓ avg -0.04 → last ⅓ avg -0.05

Reaction time693ms−18ms

first ⅓ avg 711ms → last ⅓ avg 693ms

Headshot accuracy17.3%+1.8%

first ⅓ avg 15.6% → last ⅓ avg 17.3%

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 — nuke 13–3

13–2Biggest win — anubis

6Longest win streak

9–5In matches decided by ≤2 rounds

Map breakdown

trainBest map · 60% over 5ancientWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	20	9–11	45%	-0.03
mirage	A	20	11–9	55%	-0.05
inferno	B	15	7–8	47%	-0.05
nuke	D	10	3–7	30%	-0.02
anubis	D	8	2–6	25%	-0.07
vertigo	B	8	4–4	50%	-0.06
dust2	B	6	3–3	50%	-0.05
ancient	D	5	0–5	0%	-0.05
train	A	5	3–2	60%	-0.04
office	—	3	2–1	67%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,347Lifetime kills

0.73K/D

2,631Matches

36.8%Match win rate

42.0%Headshot %

5.8%Shot accuracy

1,900MVPs

735Hours (in match)

1,954Bombs planted

264Bombs defused

Most-used weapons

M4A4 / M4A1-S4,312

AK-474,114

Galil AR3,001

AWP1,717

P2000 / USP-S1,524

Glock-181,393

FAMAS1,205

MP91,094

XM10141,003

AUG739

Lifetime map wins

2,430nuke

2,092vertigo

2,033dust2

1,617inferno

1,457office

767train

152italy

74ar_shoots

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

Skill profile

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

17.4%Headshot accuracy

21.9%Accuracy (enemy spotted)

19.2%Spray accuracy

61.7%Counter-strafing

10.4°Preaim

675msReaction time

14.7%T opening success

32.1%CT opening success

0.49Enemies flashed / flash

2.3%Flash assists

6.61HE damage / grenade

3.99Flashes / 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
Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.
Spray accuracy 19.1755% — below the 20% mark we flag
Practice Config →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4941 — below the 0.5 mark we flag
Grenade Lineups →

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.

0% win rate across 5 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
nuke	6–13	-0.08	6%	26 Aug →
anubis	12–12	-0.05	21%	26 Aug →
inferno	8–13	-0.07	23%	25 Aug →
cache	13–9	-0.05	13%	24 Aug →
inferno	13–9	-0.00	14%	24 Aug →
vertigo	5–13	-0.06	16%	21 Aug →
anubis	9–13	-0.11	12%	18 Aug →
inferno	13–11	-0.08	14%	17 Aug →
ancient	11–13	-0.06	16%	16 Aug →
inferno	3–13	-0.08	17%	16 Aug →
mirage	12–12	-0.06	18%	10 Aug →
nuke	6–13	-0.00	21%	10 Aug →
inferno	10–13	0.00	13%	10 Aug →
cache	13–10	-0.10	3%	9 Aug →
dust2	10–13	-0.05	30%	9 Aug →
cache	6–13	-0.06	15%	8 Aug →
cache	13–11	-0.03	15%	4 Aug →
vertigo	11–13	-0.04	20%	1 Aug →
cache	12–12	0.04	31%	31 Jul →
inferno	13–10	-0.09	17%	31 Jul →
inferno	13–10	-0.07	27%	30 Jul →
mirage	10–13	-0.05	15%	30 Jul →
cache	1–5	-0.06	17%	30 Jul →
vertigo	13–8	-0.03	29%	27 Jul →
mirage	12–12	-0.10	13%	27 Jul →
dust2	13–3	-0.07	9%	26 Jul →
office	13–7	-0.10	17%	26 Jul →
cache	13–4	0.07	27%	24 Jul →
mirage	13–7	-0.01	14%	24 Jul →
cache	8–13	-0.10	17%	23 Jul →
mirage	6–13	-0.08	26%	22 Jul →
mirage	12–12	-0.03	7%	21 Jul →
dust2	12–12	-0.03	18%	18 Jul →
ancient	12–12	-0.04	16%	6 Jul →
office	13–11	0.04	29%	1 Jul →
mirage	13–7	0.01	17%	30 Jun →
office	12–12	-0.04	13%	28 Jun →
mirage	10–13	-0.01	19%	26 Jun →
cache	7–13	0.00	19%	26 Jun →
nuke	13–10	-0.07	14%	25 Jun →
mirage	10–13	-0.07	21%	25 Jun →
dust2	13–8	-0.05	20%	25 Jun →
inferno	7–13	-0.03	7%	24 Jun →
cache	12–12	-0.07	18%	24 Jun →
mirage	13–11	-0.06	21%	23 Jun →
anubis	9–13	-0.07	12%	23 Jun →
inferno	12–12	-0.01	7%	22 Jun →
nuke	2–13	-0.01	11%	22 Jun →
cache	13–7	-0.02	30%	22 Jun →
cache	13–11	0.05	17%	21 Jun →
inferno	13–6	-0.07	14%	21 Jun →
anubis	13–8	-0.07	13%	21 Jun →
train	13–7	-0.03	21%	20 Jun →
train	13–5	-0.05	14%	20 Jun →
train	11–13	-0.06	10%	18 Jun →
train	2–13	-0.07	12%	18 Jun →
mirage	13–10	-0.10	13%	14 Jun →
cache	13–8	-0.08	7%	14 Jun →
nuke	13–3	-0.02	12%	14 Jun →
nuke	13–3	0.10	16%	13 Jun →
mirage	9–13	-0.09	24%	13 Jun →
vertigo	9–13	-0.08	23%	13 Jun →
cache	3–13	-0.04	21%	12 Jun →
anubis	5–13	-0.14	9%	12 Jun →
dust2	13–4	-0.03	27%	10 Jun →
anubis	13–2	-0.00	33%	10 Jun →
mirage	13–11	-0.06	18%	10 Jun →
vertigo	13–11	-0.03	13%	9 Jun →
nuke	6–13	-0.07	3%	8 Jun →
vertigo	13–6	-0.09	0%	8 Jun →
inferno	13–8	-0.04	24%	8 Jun →
mirage	8–13	0.02	15%	7 Jun →
vertigo	13–10	-0.05	23%	7 Jun →
cache	13–5	-0.04	18%	7 Jun →
nuke	12–12	-0.00	21%	7 Jun →
mirage	13–6	-0.06	18%	6 Jun →
cache	11–13	-0.04	14%	6 Jun →
vertigo	12–12	-0.11	18%	6 Jun →
mirage	13–11	-0.06	21%	5 Jun →
ancient	2–13	-0.10	13%	5 Jun →
nuke	6–13	-0.02	13%	5 Jun →
inferno	9–13	-0.02	24%	5 Jun →
cache	9–13	-0.08	15%	5 Jun →
ancient	10–13	-0.02	27%	4 Jun →
anubis	6–13	-0.06	14%	4 Jun →
cache	9–13	-0.04	17%	4 Jun →
mirage	13–11	-0.00	21%	3 Jun →
anubis	8–13	-0.06	11%	3 Jun →
inferno	12–12	-0.05	12%	3 Jun →
mirage	13–8	-0.09	6%	3 Jun →
cache	13–6	-0.01	19%	30 May →
mirage	13–6	-0.05	3%	30 May →
train	13–2	0.02	10%	29 May →
ancient	12–12	-0.04	9%	29 May →
nuke	8–13	-0.03	30%	29 May →
dust2	12–12	-0.04	25%	28 May →
inferno	13–8	-0.01	20%	28 May →
mirage	13–8	-0.05	15%	27 May →
cache	12–12	-0.02	8%	27 May →
inferno	11–13	-0.06	16%	27 May →