PATITI PATATA V2.9F — CS2 Stats

76561198870359345[U:1:910093617]Steam profile ↗✓ No bans

249Tracked matches55%Win rate2025Tracked since

296Hours in CS

CSDB Rating5.6 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim77

Positioning42

Utility16

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLLWWLLLLWW

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

Player DNA

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

Aim7.7

Aggression5.0

Utility1.6

Positioning4.2

Opening Duels0.9

Excellent counter-strafingLimited utility dependence

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, aim profile.

Where you differ: lower positioning profile; lower 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

Counter-strafing. 95% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 683ms 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

Aim7.7

Positioning4.2

Utility1.6

Mechanics9.9

Opening Duels0.9

Win Impact6.7

Composite 5.6/10 (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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time681ms+23ms

first ⅓ avg 658ms → last ⅓ avg 681ms

Headshot accuracy22.9%+0.5%

first ⅓ avg 22.4% → last ⅓ avg 22.9%

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 — office 8–13

13–1Biggest win — anubis

7Longest win streak

L2Current streak

5–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 75% over 20ancientWeakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	21	12–9	57%	0.01
mirage	S	20	15–5	75%	0.01
dust2	A	16	9–7	56%	0.02
ancient	D	16	4–12	25%	-0.01
inferno	A	11	7–4	64%	0.02
anubis	—	4	3–1	75%	-0.00
office	—	3	0–3	0%	0.05
train	—	3	0–3	0%	-0.04
vertigo	—	3	1–2	33%	-0.01
cache	—	2	0–2	0%	-0.04
overpass	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,098Lifetime kills

1.04K/D · Top 50% of tracked players

838Matches

44.2%Match win rate

40.6%Headshot %

6.6%Shot accuracy

1,517MVPs

296Hours (in match)

605Bombs planted

214Bombs defused

Most-used weapons

AK-474,014

M4A4 / M4A1-S3,288

AWP1,112

P2000 / USP-S779

MP7645

P90612

Glock-18609

Desert Eagle526

FAMAS419

Galil AR320

Lifetime map wins

2,152dust2

1,119nuke

723inferno

84vertigo

74train

67office

35cbble

15bank

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.

23.4%Headshot accuracy

35.5%Accuracy (enemy spotted)

34.5%Spray accuracy

94.7%Counter-strafing

9.8°Preaim

683msReaction time

35.8%T opening success

31.6%CT opening success

0.31Enemies flashed / flash

2.3%Flash assists

3.32HE damage / grenade

3.00Flashes / 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.

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 0.3061 — below the 0.5 mark we flag
Grenade Lineups →
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 35.7522% — 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.

25% win rate across 16 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
cache	4–13	-0.03	24%	1 Aug →
dust2	11–13	-0.01	22%	1 Aug →
nuke	13–6	0.06	25%	9 Jul →
inferno	9–2	-0.03	29%	9 Jul →
mirage	7–13	0.00	22%	9 Jul →
office	8–13	0.13	34%	8 Jul →
ancient	11–13	0.04	25%	8 Jul →
train	9–13	-0.04	25%	8 Jul →
inferno	13–3	-0.01	29%	8 Jul →
overpass	13–9	-0.03	21%	7 Jul →
nuke	13–6	0.07	18%	7 Jul →
inferno	9–13	-0.04	41%	5 Jul →
mirage	13–2	0.08	15%	5 Jul →
ancient	8–13	0.00	27%	5 Jul →
mirage	13–6	-0.03	17%	25 Jun →
nuke	13–6	0.04	18%	22 Jun →
dust2	13–10	-0.03	25%	21 Jun →
inferno	13–11	0.09	18%	20 Jun →
nuke	10–13	0.02	20%	20 Jun →
nuke	10–7	-0.05	24%	20 Jun →
mirage	13–4	0.08	22%	19 Jun →
dust2	8–3	0.05	23%	19 Jun →
nuke	13–9	-0.03	22%	18 Jun →
train	10–13	-0.05	21%	18 Jun →
dust2	13–10	0.05	12%	18 Jun →
ancient	8–13	-0.03	22%	12 Jun →
dust2	3–13	0.03	28%	11 Jun →
anubis	13–1	0.00	38%	10 Jun →
ancient	15–15	-0.00	26%	10 Jun →
ancient	2–13	-0.03	13%	10 Jun →
inferno	15–15	0.01	26%	9 Jun →
ancient	15–15	-0.06	13%	8 Jun →
nuke	13–10	-0.07	13%	8 Jun →
vertigo	5–13	0.00	23%	8 Jun →
ancient	3–13	-0.08	7%	8 Jun →
nuke	13–11	0.03	17%	8 Jun →
inferno	13–4	0.10	24%	8 Jun →
mirage	13–4	0.03	16%	7 Jun →
nuke	13–5	0.03	16%	7 Jun →
dust2	13–10	0.05	22%	6 Jun →
ancient	13–3	0.01	21%	6 Jun →
dust2	13–6	0.11	20%	6 Jun →
nuke	2–13	-0.05	36%	5 Jun →
mirage	6–13	0.05	23%	5 Jun →
inferno	13–7	-0.03	30%	5 Jun →
mirage	13–6	-0.03	14%	5 Jun →
ancient	11–13	-0.05	21%	4 Jun →
nuke	13–16	0.10	18%	4 Jun →
dust2	11–13	0.02	29%	3 Jun →
nuke	13–7	0.04	17%	3 Jun →
dust2	13–1	0.11	27%	3 Jun →
mirage	8–13	-0.06	20%	1 Jun →
train	11–13	-0.03	15%	1 Jun →
mirage	1–13	-0.07	23%	1 Jun →
mirage	13–4	-0.00	15%	1 Jun →
vertigo	11–13	-0.05	20%	1 Jun →
nuke	9–13	-0.03	29%	1 Jun →
ancient	13–9	-0.01	16%	1 Jun →
inferno	13–3	0.04	17%	1 Jun →
mirage	13–11	0.02	30%	31 May →
anubis	13–7	-0.09	16%	31 May →
mirage	13–10	-0.04	15%	31 May →
ancient	10–13	-0.04	12%	31 May →
mirage	13–3	-0.01	21%	31 May →
vertigo	13–9	0.02	16%	30 May →
mirage	13–3	-0.01	25%	30 May →
inferno	13–8	0.04	39%	29 May →
mirage	13–4	0.01	29%	29 May →
nuke	4–13	-0.06	17%	28 May →
mirage	13–5	0.05	30%	28 May →
nuke	7–13	-0.04	26%	28 May →
ancient	1–13	-0.07	19%	28 May →
mirage	8–7	-0.07	26%	26 May →
nuke	8–13	0.04	32%	26 May →
mirage	13–4	0.08	29%	24 May →
nuke	7–13	0.03	30%	24 May →
nuke	13–11	-0.03	27%	24 May →
dust2	13–8	0.07	22%	23 May →
anubis	13–5	0.01	29%	23 May →
inferno	8–13	0.03	20%	23 May →
mirage	13–4	0.09	21%	23 May →
nuke	13–4	0.06	17%	23 May →
ancient	13–11	-0.00	14%	23 May →
dust2	3–13	-0.08	19%	23 May →
ancient	7–13	0.03	36%	23 May →
dust2	3–13	-0.02	22%	23 May →
ancient	13–6	0.13	13%	22 May →
dust2	7–13	-0.03	11%	22 May →
ancient	3–13	-0.02	15%	21 May →
inferno	10–13	0.07	23%	21 May →
dust2	13–5	0.03	18%	21 May →
dust2	11–13	0.06	18%	21 May →
nuke	13–6	0.07	19%	21 May →
mirage	13–9	0.09	20%	21 May →
dust2	13–10	-0.01	32%	21 May →
cache	10–13	-0.06	10%	19 May →
office	7–13	-0.03	26%	19 May →
office	12–12	0.04	23%	18 May →
nuke	15–15	-0.03	25%	18 May →
anubis	11–13	0.07	20%	18 May →