Jaco8 — CS2 Stats

UA76561198867557841[U:1:907292113]Steam profile ↗

1,525Tracked matches48%Win rate2022Tracked since

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating19,152Purple band · top ~11.9% of ranked players (population est.)

CSDB Leaderboard#10278 of 21418 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning42

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY43–46–11Last 10043%Win rateLWTWWLTLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim7.2

Aggression4.8

Utility6.7

Positioning4.2

Opening Duels2.2

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 NiKo 90% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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 57% on CT to 21% 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

Aim7.2

Positioning4.2

Utility6.7

Mechanics7.8

Opening Duels3.3

Win Impact4.4

Composite 5.9/10 (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 0.02 → last ⅓ avg 0.01

Reaction time572ms−55ms

first ⅓ avg 626ms → last ⅓ avg 572ms

Headshot accuracy15.4%−0.1%

first ⅓ avg 15.6% → last ⅓ avg 15.4%

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

0.15Best rating — inferno 13–6

13–2Biggest win — inferno

6Longest win streak

6–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 60% over 5anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	36	16–20	44%	0.02
dust2	B	24	13–11	54%	-0.00
ancient	C	16	6–10	38%	0.01
anubis	D	10	2–8	20%	-0.00
mirage	A	5	3–2	60%	-0.01
cache	D	5	1–4	20%	0.01
nuke	—	2	0–2	0%	-0.04
vertigo	—	1	1–0	100%	-0.03
overpass	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

954Matches

51%Win rate

1.14Avg K/D

75.6ADR

36%Headshot %

Clutches & streaks

38%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	237	57%	1.28	15.0
Ancient	187	45%	1.14	14.7
Vertigo	162	49%	1.13	15.5
Dust2	159	55%	1.12	15.2
Anubis	151	47%	1.07	14.3
Mirage	18	33%	0.85	13.1
Nuke	6	33%	0.76	10.7
Overpass	4	50%	0.99	14.3

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.

15.2%Headshot accuracy

34.2%Accuracy (enemy spotted)

38.1%Spray accuracy

85.0%Counter-strafing

9.8°Preaim

572msReaction time

20.6%T opening success

56.7%CT opening success

0.59Enemies flashed / flash

5.9%Flash assists

9.19HE damage / grenade

20.06Flashes / 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 20.64% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	0.03	7%	26 Aug →
ancient	13–11	0.01	15%	26 Aug →
dust2	12–12	-0.03	21%	23 Aug →
inferno	13–2	0.01	20%	23 Aug →
vertigo	13–7	-0.03	11%	22 Aug →
dust2	11–13	-0.03	7%	22 Aug →
ancient	15–15	-0.02	9%	22 Aug →
inferno	11–13	0.03	15%	22 Aug →
inferno	13–10	-0.00	13%	21 Aug →
inferno	13–7	0.06	22%	20 Aug →
dust2	13–4	-0.01	10%	20 Aug →
inferno	13–6	0.09	19%	19 Aug →
inferno	2–13	-0.06	30%	19 Aug →
inferno	5–13	-0.05	5%	19 Aug →
inferno	16–13	0.05	15%	18 Aug →
ancient	4–13	-0.07	25%	17 Aug →
ancient	6–13	-0.02	17%	16 Aug →
anubis	4–13	-0.06	12%	16 Aug →
anubis	7–13	0.02	14%	15 Aug →
dust2	2–13	-0.02	17%	15 Aug →
ancient	13–10	0.06	20%	14 Aug →
inferno	13–6	0.15	14%	14 Aug →
dust2	13–4	0.09	21%	13 Aug →
ancient	4–13	0.01	24%	13 Aug →
inferno	15–15	0.07	18%	11 Aug →
dust2	7–13	-0.07	9%	10 Aug →
inferno	13–5	-0.07	23%	10 Aug →
dust2	5–13	-0.03	14%	9 Aug →
dust2	16–12	0.02	11%	9 Aug →
ancient	11–13	0.05	8%	8 Aug →
inferno	15–15	0.02	20%	8 Aug →
mirage	13–4	0.06	13%	8 Aug →
inferno	12–16	0.01	10%	7 Aug →
dust2	9–13	-0.01	11%	7 Aug →
anubis	13–4	0.10	14%	7 Aug →
inferno	9–13	-0.06	15%	7 Aug →
mirage	13–4	0.01	15%	7 Aug →
inferno	13–8	0.06	18%	6 Aug →
ancient	5–13	0.04	17%	5 Aug →
dust2	6–13	-0.04	12%	5 Aug →
inferno	8–6	-0.04	0%	4 Aug →
dust2	13–2	-0.04	12%	4 Aug →
inferno	10–13	-0.00	10%	4 Aug →
dust2	13–11	0.05	15%	3 Aug →
anubis	13–11	-0.00	18%	2 Aug →
ancient	6–13	-0.01	16%	2 Aug →
anubis	3–13	-0.05	9%	2 Aug →
dust2	12–12	-0.02	17%	2 Aug →
dust2	13–10	-0.01	18%	2 Aug →
inferno	12–12	-0.04	26%	1 Aug →
ancient	13–16	-0.01	9%	30 Jul →
ancient	13–3	0.01	14%	29 Jul →
inferno	9–13	0.00	14%	29 Jul →
dust2	13–4	0.01	10%	28 Jul →
dust2	7–13	0.01	15%	26 Jul →
inferno	13–7	0.04	30%	25 Jul →
ancient	13–9	-0.03	9%	19 Jul →
dust2	13–8	0.02	21%	19 Jul →
inferno	4–13	-0.01	26%	19 Jul →
anubis	11–13	0.03	14%	18 Jul →
anubis	9–13	-0.05	22%	18 Jul →
cache	1–10	0.06	26%	18 Jul →
inferno	2–13	-0.11	14%	16 Jul →
mirage	15–15	-0.04	16%	16 Jul →
anubis	6–13	-0.05	13%	16 Jul →
inferno	13–4	0.02	17%	16 Jul →
dust2	13–11	-0.01	9%	13 Jul →
cache	5–13	0.04	9%	12 Jul →
inferno	9–13	0.04	7%	12 Jul →
inferno	11–13	0.06	16%	12 Jul →
nuke	3–13	-0.10	17%	11 Jul →
inferno	9–13	0.04	14%	11 Jul →
dust2	13–11	0.05	8%	11 Jul →
cache	16–12	0.03	33%	10 Jul →
ancient	13–2	0.07	10%	10 Jul →
ancient	9–13	0.00	14%	10 Jul →
inferno	7–13	0.05	10%	10 Jul →
inferno	13–6	0.01	8%	8 Jul →
cache	6–13	-0.06	6%	7 Jul →
dust2	13–10	-0.03	12%	7 Jul →
inferno	12–12	0.11	25%	6 Jul →
dust2	6–13	-0.00	7%	6 Jul →
inferno	13–3	0.09	17%	5 Jul →
dust2	11–13	-0.03	21%	3 Jul →
inferno	13–7	0.11	8%	3 Jul →
inferno	12–12	-0.05	23%	1 Jul →
mirage	13–11	-0.05	20%	28 Jun →
cache	11–13	-0.04	17%	28 Jun →
anubis	5–13	0.02	18%	27 Jun →
dust2	13–9	0.02	13%	27 Jun →
inferno	5–13	0.05	31%	27 Jun →
ancient	9–13	0.04	12%	27 Jun →
dust2	13–9	0.02	18%	27 Jun →
inferno	13–9	-0.01	15%	26 Jun →
inferno	13–10	0.02	17%	26 Jun →
ancient	13–9	-0.04	16%	26 Jun →
overpass	13–3	0.00	25%	25 Jun →
inferno	13–3	0.07	13%	21 Jun →
mirage	15–15	-0.01	13%	21 Jun →
nuke	15–15	0.01	21%	20 Jun →