Agropesca Jacaré — CS2 Stats

76561198358465063[U:1:398199335]

1,494Tracked matches47%Win rate2022Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating24,637Top 50% of 819 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)

CSDB Leaderboard#914 of 5300 tracked

FaceitLevel 8 · 1,785 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning63

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWLWWLLLWWL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim8.6

Aggression8.3

Utility5.4

Positioning6.3

Opening Duels3.8

Clutch4.2

Sharp aimerStrong 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: positioning profile, opening-fight frequency.

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 86 — the mechanical foundation is a clear strength.

Areas to improve

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

T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim8.6

Positioning6.3

Utility5.4

Mechanics7.0

Opening Duels3.8

Win Impact3.9

Composite 6.6/10 (Solid), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time570ms−33ms

first ⅓ avg 602ms → last ⅓ avg 570ms

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

0.14Best rating — inferno 13–1

13–0Biggest win — anubis

5Longest win streak

9–13In matches decided by ≤2 rounds

15Overtime games

Map breakdown

anubisBest map · 100% over 5cacheWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	31	16–15	52%	0.02
dust2	B	26	13–13	50%	0.03
inferno	B	12	6–6	50%	0.03
ancient	C	9	4–5	44%	0.02
overpass	B	8	4–4	50%	0.01
cache	C	5	2–3	40%	-0.01
anubis	S	5	5–0	100%	0.05
office	—	2	2–0	100%	-0.04
vertigo	—	1	1–0	100%	-0.01
nuke	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

423Matches

54%Win rate

1.20Avg K/D

82.0ADR

48%Headshot %

Clutches & streaks

41%1v1 clutch win

24%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	109	59%	1.12	16.5
Dust2	93	52%	1.18	16.5
Inferno	50	54%	1.22	17.6
Nuke	47	49%	1.32	17.4
Overpass	32	53%	1.15	17.1
Anubis	31	55%	1.18	17.4
Ancient	28	50%	1.21	18.6
Train	16	62%	1.64	19.7

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.

22.9%Headshot accuracy

37.6%Accuracy (enemy spotted)

41.4%Spray accuracy

81.6%Counter-strafing

8.8°Preaim

570msReaction time

36.2%T opening success

54.0%CT opening success

0.56Enemies flashed / flash

6.9%Flash assists

11.32HE damage / grenade

7.74Flashes / 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 36.2311% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	16–12	-0.08	25%	23 Aug →
mirage	6–13	-0.03	21%	22 Aug →
mirage	13–10	0.05	16%	21 Aug →
ancient	13–11	0.05	18%	21 Aug →
dust2	11–13	0.05	35%	21 Aug →
dust2	6–13	-0.02	26%	20 Aug →
mirage	6–13	-0.02	29%	8 Aug →
dust2	13–6	0.02	24%	8 Aug →
mirage	16–13	-0.02	26%	7 Aug →
dust2	2–13	0.01	22%	7 Aug →
inferno	6–13	-0.03	16%	6 Aug →
overpass	9–13	-0.00	36%	6 Aug →
overpass	13–11	-0.00	13%	5 Aug →
ancient	13–2	0.13	20%	5 Aug →
dust2	13–11	0.09	27%	5 Aug →
mirage	13–8	0.07	18%	5 Aug →
mirage	18–22	-0.00	15%	4 Aug →
overpass	8–13	0.00	10%	4 Aug →
mirage	22–20	0.04	31%	4 Aug →
overpass	9–13	0.02	21%	4 Aug →
dust2	6–13	0.05	22%	4 Aug →
cache	16–14	-0.03	20%	3 Aug →
dust2	13–8	0.03	22%	31 Jul →
mirage	14–16	0.05	21%	31 Jul →
mirage	7–13	-0.01	24%	31 Jul →
overpass	7–13	-0.03	29%	31 Jul →
dust2	13–2	0.02	27%	31 Jul →
overpass	16–12	0.04	20%	30 Jul →
mirage	11–13	0.04	31%	30 Jul →
dust2	14–16	0.01	23%	30 Jul →
dust2	8–13	0.05	29%	30 Jul →
ancient	13–11	0.06	20%	30 Jul →
mirage	13–4	0.09	21%	29 Jul →
dust2	13–16	0.04	14%	29 Jul →
dust2	8–1	0.09	25%	29 Jul →
vertigo	13–6	-0.01	31%	29 Jul →
inferno	14–16	-0.03	15%	29 Jul →
mirage	13–8	0.05	21%	29 Jul →
inferno	5–13	0.00	21%	29 Jul →
mirage	13–5	0.10	32%	29 Jul →
dust2	13–11	-0.01	29%	28 Jul →
mirage	13–4	-0.02	26%	28 Jul →
inferno	13–1	0.14	9%	27 Jul →
inferno	13–1	0.08	26%	27 Jul →
cache	3–13	-0.05	25%	27 Jul →
dust2	13–11	0.06	32%	27 Jul →
anubis	13–0	0.02	36%	26 Jul →
mirage	9–13	0.04	18%	26 Jul →
inferno	13–9	0.01	35%	26 Jul →
inferno	15–15	0.07	22%	26 Jul →
dust2	13–5	0.07	31%	25 Jul →
mirage	13–3	-0.02	12%	25 Jul →
overpass	12–9	0.04	17%	25 Jul →
ancient	11–13	0.01	21%	25 Jul →
mirage	14–16	-0.03	16%	25 Jul →
anubis	13–7	0.07	30%	25 Jul →
dust2	13–6	0.13	28%	25 Jul →
mirage	13–4	0.07	16%	25 Jul →
dust2	13–11	0.05	19%	24 Jul →
mirage	11–13	0.01	16%	24 Jul →
ancient	9–13	-0.00	23%	24 Jul →
mirage	7–13	-0.01	20%	23 Jul →
dust2	11–13	0.04	32%	23 Jul →
mirage	10–13	-0.03	21%	23 Jul →
ancient	12–16	-0.01	22%	23 Jul →
dust2	16–12	0.02	15%	22 Jul →
ancient	8–13	-0.00	15%	22 Jul →
dust2	8–13	-0.03	24%	21 Jul →
ancient	8–13	-0.03	19%	21 Jul →
dust2	13–9	-0.02	31%	21 Jul →
dust2	11–13	0.02	21%	21 Jul →
ancient	13–4	0.02	17%	21 Jul →
nuke	8–13	-0.01	8%	17 Jul →
inferno	13–8	0.07	12%	16 Jul →
mirage	9–13	-0.04	22%	16 Jul →
dust2	11–13	-0.11	7%	15 Jul →
mirage	10–3	0.12	13%	15 Jul →
dust2	11–13	0.04	27%	15 Jul →
cache	8–13	-0.03	11%	13 Jul →
inferno	8–13	0.09	21%	10 Jul →
mirage	3–13	-0.04	10%	10 Jul →
mirage	13–10	0.01	38%	10 Jul →
anubis	13–6	0.12	28%	10 Jul →
dust2	7–13	0.03	25%	9 Jul →
office	13–1	-0.05	31%	8 Jul →
office	9–2	-0.02	43%	8 Jul →
anubis	13–9	0.03	20%	8 Jul →
inferno	13–8	-0.05	26%	7 Jul →
inferno	9–13	0.01	22%	6 Jul →
mirage	8–13	-0.02	27%	6 Jul →
anubis	13–8	-0.00	24%	6 Jul →
mirage	2–13	-0.03	15%	6 Jul →
dust2	13–8	0.03	34%	6 Jul →
mirage	13–6	0.00	15%	6 Jul →
inferno	13–8	0.01	17%	5 Jul →
overpass	13–10	0.04	20%	5 Jul →
mirage	16–13	0.05	24%	5 Jul →
cache	11–13	0.03	24%	3 Jul →
cache	13–2	0.03	35%	3 Jul →
mirage	13–10	0.11	30%	2 Jul →