super_jacob — CS2 Stats

76561198152431193[U:1:192165465]

1,321Tracked matches50%Win rate2020Tracked since

3,632Hours in CS0Hrs last 2 wks

CSDB Rating6.0 SolidPassive Rifler

Premier CS Rating25,265Top 25% of 819 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

CSDB Leaderboard#1732 of 11910 tracked

WingmanSilver Elite

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning48

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLLWLWWWWL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

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

Aim7.8

Aggression4.0

Utility4.8

Positioning4.8

Opening Duels1.0

Clutch3.8

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 88% playstyle similarity

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

Where you differ: lower utility contribution; 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 45% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms 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

Aim7.8

Positioning4.8

Utility4.8

Mechanics7.0

Opening Duels1.9

Win Impact5.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time552ms−50ms

first ⅓ avg 601ms → last ⅓ avg 552ms

Headshot accuracy19.5%+1.5%

first ⅓ avg 18.0% → last ⅓ avg 19.5%

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

0.12Best rating — ancient 10–13

13–1Biggest win — cache

4Longest win streak

13–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 71% over 17mirageWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	21	13–8	62%	0.01
ancient	S	17	12–5	71%	0.02
inferno	A	16	10–6	63%	-0.00
dust2	D	14	3–11	21%	0.00
cache	D	10	3–7	30%	0.01
overpass	A	9	5–4	56%	0.03
mirage	D	6	1–5	17%	-0.03
nuke	C	5	2–3	40%	-0.02
fachwerk	—	1	1–0	100%	0.05
train	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

133,099Lifetime kills

1.32K/D · Top 10% of tracked players

4,408Matches

48.2%Match win rate · Top 50% of tracked players

39.1%Headshot %

15.5%Shot accuracy · Top 25% of tracked players

10,877MVPs

1,675Hours (in match)

4,404Bombs planted

1,107Bombs defused

Most-used weapons

AK-4746,589

M4A4 / M4A1-S41,340

AWP5,484

P2000 / USP-S4,958

Glock-183,970

Desert Eagle3,826

MAC-102,651

P902,639

SSG 082,064

Knife1,825

Lifetime map wins

14,569dust2

4,749inferno

2,288vertigo

1,937nuke

615cbble

503train

320office

252dust

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

Faceit stats

Combat

250Matches

50%Win rate

1.19Avg K/D

80.9ADR

48%Headshot %

Clutches & streaks

39%1v1 clutch win

31%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	27	30%	1.18	16.6
Inferno	24	50%	1.18	16.8
Ancient	23	52%	1.11	16.4
Vertigo	17	47%	1.21	18.4
Mirage	17	47%	1.38	16.1
Overpass	15	73%	1.37	18.9
Dust2	5	40%	1.27	15.4
Nuke	1	100%	0.87	20.0

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.

19.2%Headshot accuracy

35.9%Accuracy (enemy spotted)

37.5%Spray accuracy

81.3%Counter-strafing

9.2°Preaim

560msReaction time

22.5%T opening success

45.4%CT opening success

0.45Enemies flashed / flash

6.7%Flash assists

6.00HE damage / grenade

7.71Flashes / 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 0.4495 — 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 22.4634% — below the 40% mark we flag

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	0.01	23%	7 Aug →
mirage	6–13	0.01	26%	7 Aug →
ancient	11–13	-0.03	9%	25 Jul →
inferno	13–5	-0.02	25%	25 Jul →
cache	1–13	-0.04	17%	16 Jul →
fachwerk	13–8	0.05	18%	16 Jul →
inferno	13–10	-0.01	13%	15 Jul →
anubis	13–4	0.00	14%	15 Jul →
anubis	13–11	0.04	25%	14 Jul →
cache	11–13	0.02	16%	14 Jul →
ancient	13–11	0.03	16%	14 Jul →
cache	13–1	0.02	36%	14 Jul →
nuke	9–13	-0.05	14%	14 Jul →
nuke	13–16	-0.05	10%	14 Jul →
dust2	9–13	0.00	11%	14 Jul →
ancient	13–11	0.02	23%	13 Jul →
mirage	14–16	-0.01	26%	13 Jul →
inferno	13–11	0.08	23%	13 Jul →
cache	10–13	-0.00	22%	13 Jul →
anubis	13–11	0.03	19%	11 Jul →
dust2	10–13	-0.04	15%	11 Jul →
dust2	11–13	0.05	22%	11 Jul →
ancient	1–13	-0.08	30%	11 Jul →
cache	4–13	0.00	17%	11 Jul →
cache	11–13	0.01	19%	11 Jul →
anubis	6–13	-0.06	12%	11 Jul →
anubis	13–9	-0.00	11%	11 Jul →
ancient	13–8	0.06	18%	10 Jul →
cache	13–8	0.07	28%	10 Jul →
inferno	13–5	0.03	30%	10 Jul →
cache	10–13	0.00	18%	10 Jul →
anubis	8–13	-0.04	18%	10 Jul →
nuke	13–7	0.03	20%	9 Jul →
ancient	10–13	0.12	17%	9 Jul →
cache	13–9	-0.00	16%	9 Jul →
inferno	13–4	0.05	30%	9 Jul →
ancient	13–7	0.04	20%	9 Jul →
cache	8–13	0.03	14%	3 Jul →
overpass	10–13	0.02	17%	3 Jul →
nuke	6–13	0.02	17%	3 Jul →
overpass	9–13	-0.08	26%	3 Jul →
anubis	6–13	-0.08	5%	3 Jul →
overpass	8–13	0.01	15%	27 Jun →
inferno	15–15	0.01	25%	27 Jun →
anubis	15–15	-0.01	15%	27 Jun →
inferno	5–13	-0.04	16%	26 Jun →
anubis	13–11	-0.03	19%	26 Jun →
overpass	13–6	-0.03	14%	26 Jun →
nuke	16–14	-0.03	13%	25 Jun →
anubis	4–13	-0.03	19%	25 Jun →
anubis	16–14	-0.01	20%	25 Jun →
ancient	13–10	0.08	28%	25 Jun →
inferno	8–13	-0.05	11%	24 Jun →
ancient	13–3	0.05	16%	24 Jun →
anubis	7–13	0.05	24%	24 Jun →
ancient	5–13	-0.04	6%	22 Jun →
anubis	7–13	0.07	14%	22 Jun →
inferno	13–9	-0.01	19%	22 Jun →
ancient	13–4	0.06	24%	19 Jun →
anubis	13–8	0.03	26%	19 Jun →
mirage	5–13	-0.07	23%	19 Apr →
dust2	3–13	-0.00	12%	19 Apr →
overpass	13–10	0.11	19%	13 Mar →
dust2	5–13	-0.08	13%	13 Mar →
inferno	3–13	-0.04	20%	13 Mar →
anubis	13–11	-0.01	6%	13 Mar →
overpass	6–13	0.01	18%	13 Mar →
anubis	13–5	0.03	14%	13 Mar →
anubis	13–10	-0.00	9%	12 Mar →
ancient	13–10	-0.00	18%	12 Mar →
inferno	10–13	0.06	21%	12 Mar →
dust2	8–13	-0.05	21%	12 Mar →
inferno	13–9	-0.04	29%	9 Mar →
ancient	13–4	0.02	11%	9 Mar →
overpass	13–7	0.11	11%	9 Mar →
inferno	13–3	0.06	21%	9 Mar →
ancient	9–13	-0.03	14%	21 Feb →
ancient	13–10	-0.02	9%	21 Feb →
inferno	16–14	-0.04	23%	21 Feb →
dust2	4–13	0.03	12%	21 Feb →
anubis	10–13	0.02	16%	16 Feb →
anubis	13–11	0.04	20%	15 Feb →
dust2	10–13	-0.01	23%	15 Feb →
ancient	13–10	0.05	22%	15 Feb →
overpass	13–11	0.08	21%	14 Feb →
anubis	13–9	0.04	20%	14 Feb →
mirage	2–13	-0.11	13%	14 Feb →
inferno	13–11	-0.04	14%	14 Feb →
anubis	13–10	0.03	18%	12 Feb →
ancient	13–8	0.04	27%	12 Feb →
mirage	13–4	0.05	20%	12 Feb →
dust2	8–13	-0.01	14%	12 Feb →
overpass	16–12	0.07	18%	12 Feb →
dust2	11–13	0.10	18%	11 Feb →
dust2	13–9	0.03	15%	9 Jan →
dust2	13–9	0.02	20%	9 Jan →
mirage	4–13	-0.02	17%	8 Jan →
inferno	5–13	-0.02	26%	8 Jan →
dust2	15–15	-0.00	19%	8 Jan →
train	13–10	-0.02	23%	8 Jan →