patitas — CS2 Stats

MX76561197962207263[U:1:1941535]Steam profile ↗✓ No bans

3,952Tracked matches53%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim82

Positioning60

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLWLWLLWLWW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

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

Aim8.2

Aggression7.7

Utility5.6

Positioning6.0

Opening Duels3.7

Clutch3.6

Strong CT-side opener

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 b1t 94% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim8.2

Positioning6.0

Utility5.6

Mechanics5.3

Opening Duels3.7

Win Impact6.1

Composite 6.3/10 (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 rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time576ms−54ms

first ⅓ avg 630ms → last ⅓ avg 576ms

Headshot accuracy24.4%−2.3%

first ⅓ avg 26.6% → last ⅓ avg 24.4%

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

0.40Best rating — inferno 9–2

13–2Biggest win — dust2

5Longest win streak

13–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 58% over 12overpassWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	20	11–9	55%	0.02
dust2	C	20	8–12	40%	0.01
anubis	B	14	7–7	50%	0.01
inferno	B	13	6–7	46%	0.04
cache	A	12	7–5	58%	-0.00
nuke	C	8	3–5	38%	0.01
overpass	D	6	2–4	33%	0.01
ancient	—	4	1–3	25%	0.01
sanctum	—	1	0–1	0%	-0.18
poseidon	—	1	1–0	100%	0.10
faceitaimdeagle	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,315Matches

50%Win rate

1.16Avg K/D

79.6ADR

57%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	259	46%	1.05	16.6
Anubis	225	47%	1.07	16.9
Mirage	172	48%	1.01	15.8
Inferno	161	52%	1.07	16.5
Ancient	156	42%	1.00	16.7
Nuke	54	37%	1.06	16.3
Overpass	51	65%	1.16	16.7
Vertigo	44	45%	1.07	16.5

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.

24.2%Headshot accuracy

37.9%Accuracy (enemy spotted)

45.5%Spray accuracy

74.1%Counter-strafing

10.0°Preaim

572msReaction time

36.5%T opening success

53.2%CT opening success

0.50Enemies flashed / flash

4.9%Flash assists

6.83HE damage / grenade

13.64Flashes / 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 36.5045% — below the 40% mark we flag

Spend your practice time on Overpass

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	4–13	-0.08	12%	19 Aug →
dust2	13–11	0.01	42%	19 Aug →
dust2	6–13	-0.08	26%	14 Aug →
cache	13–11	0.02	31%	14 Aug →
mirage	8–13	-0.02	34%	12 Aug →
inferno	4–13	-0.03	57%	5 Aug →
anubis	13–10	-0.01	14%	5 Aug →
nuke	5–13	-0.00	19%	2 Aug →
anubis	13–7	0.00	15%	2 Aug →
cache	13–11	-0.03	26%	2 Aug →
mirage	4–13	-0.02	28%	1 Aug →
cache	13–4	0.00	16%	1 Aug →
anubis	14–16	0.01	24%	31 Jul →
ancient	18–22	0.01	19%	31 Jul →
anubis	13–5	-0.03	23%	31 Jul →
dust2	3–13	-0.03	14%	31 Jul →
mirage	10–2	0.09	36%	31 Jul →
inferno	13–7	0.04	28%	31 Jul →
mirage	13–4	0.09	33%	31 Jul →
anubis	10–13	-0.03	40%	25 Jul →
mirage	13–9	0.03	26%	25 Jul →
anubis	10–13	0.07	14%	25 Jul →
cache	13–4	-0.01	21%	25 Jul →
dust2	11–13	0.02	31%	25 Jul →
cache	16–14	0.04	20%	25 Jul →
nuke	13–4	0.07	13%	25 Jul →
ancient	13–16	0.01	18%	24 Jul →
anubis	13–9	0.02	20%	24 Jul →
anubis	13–11	-0.02	10%	24 Jul →
mirage	7–13	0.00	25%	24 Jul →
inferno	3–13	-0.08	27%	22 Jul →
nuke	5–13	-0.07	27%	22 Jul →
anubis	15–19	-0.03	14%	17 Jul →
cache	11–13	-0.02	17%	17 Jul →
nuke	13–11	0.00	20%	15 Jul →
mirage	9–13	-0.03	26%	12 Jul →
mirage	13–9	0.03	24%	12 Jul →
mirage	9–13	0.01	14%	12 Jul →
dust2	13–11	-0.02	33%	12 Jul →
cache	13–16	0.03	19%	12 Jul →
cache	5–13	-0.02	19%	12 Jul →
dust2	11–13	-0.02	33%	12 Jul →
cache	13–7	0.07	24%	12 Jul →
dust2	11–13	0.07	24%	12 Jul →
cache	4–13	-0.03	26%	12 Jul →
dust2	15–15	-0.01	30%	11 Jul →
mirage	13–7	0.07	29%	11 Jul →
cache	16–13	-0.02	19%	11 Jul →
nuke	15–15	0.02	28%	11 Jul →
ancient	10–13	-0.03	39%	11 Jul →
inferno	13–8	0.02	23%	11 Jul →
inferno	13–11	-0.04	21%	3 Jul →
overpass	9–13	0.05	24%	3 Jul →
dust2	13–8	0.02	12%	3 Jul →
overpass	7–13	0.01	14%	30 Jun →
dust2	13–2	0.11	32%	30 Jun →
mirage	13–9	-0.01	25%	30 Jun →
mirage	13–5	0.16	28%	30 Jun →
inferno	10–13	0.04	27%	30 Jun →
dust2	13–10	0.01	58%	29 Jun →
mirage	13–2	0.08	22%	29 Jun →
overpass	5–13	-0.05	17%	23 Jun →
dust2	8–13	-0.03	15%	23 Jun →
dust2	5–13	0.06	31%	20 Jun →
anubis	13–11	0.04	20%	20 Jun →
nuke	10–13	0.04	23%	20 Jun →
anubis	7–13	0.04	20%	19 Jun →
mirage	13–8	-0.02	17%	19 Jun →
dust2	7–13	0.02	20%	19 Jun →
dust2	5–13	0.02	23%	19 Jun →
mirage	11–13	-0.01	24%	19 Jun →
dust2	13–4	0.12	26%	19 Jun →
anubis	7–13	-0.01	25%	8 Jun →
inferno	13–6	0.10	32%	8 Jun →
anubis	13–8	0.07	18%	8 Jun →
nuke	8–13	-0.03	15%	7 Jun →
anubis	10–13	0.02	24%	7 Jun →
mirage	13–8	0.02	18%	7 Jun →
cache	7–13	-0.08	25%	7 Jun →
nuke	13–3	0.10	20%	7 Jun →
overpass	13–11	0.03	32%	7 Jun →
inferno	4–9	0.00	45%	3 Jun →
sanctum	0–9	-0.18	18%	3 Jun →
inferno	5–9	-0.04	27%	3 Jun →
inferno	9–2	0.40	41%	3 Jun →
poseidon	9–7	0.10	33%	3 Jun →
inferno	9–7	0.23	44%	3 Jun →
inferno	9–13	-0.07	27%	30 May →
mirage	3–13	-0.07	26%	24 May →
inferno	5–13	-0.02	19%	24 May →
dust2	4–13	-0.07	29%	24 May →
mirage	7–13	-0.04	20%	23 May →
faceitaimdeagle	18–22	-0.04	28%	23 May →
dust2	1–13	-0.06	13%	22 May →
dust2	13–5	0.06	41%	22 May →
overpass	13–7	0.01	30%	20 May →
dust2	13–11	-0.02	37%	20 May →
mirage	13–9	0.01	23%	17 May →
ancient	13–10	0.04	31%	17 May →
overpass	5–13	-0.01	28%	17 May →