JumboEyeLid — CS2 Stats

US76561198203413492[U:1:243147764]Steam profile ↗✓ No bans

767Tracked matches48%Win rate2023Tracked since

1,653Hours in CS11Hrs last 2 wks

CSDB Rating4.6 DevelopingHybrid Rifler

Premier CS Rating10,014Blue band · top ~54.8% of ranked players (population est.)

CSDB Leaderboard#14628 of 19936 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning39

Utility16

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLLLWWWWLWL

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

Player DNA

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

Aim7.1

Aggression4.7

Utility1.6

Positioning3.9

Opening Duels1.0

Clutch4.8

Limited 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 80% playstyle similarity

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

Where you differ: lower aim 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

Areas to improve

Positioning. Positioning trails aim by 32 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. 656ms 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

Aim7.1

Positioning3.9

Utility1.6

Mechanics7.4

Opening Duels1.0

Win Impact4.4

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time654ms+41ms

first ⅓ avg 613ms → last ⅓ avg 654ms

Headshot accuracy18.7%+1.6%

first ⅓ avg 17.2% → last ⅓ avg 18.7%

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

0.21Best rating — inferno 9–2

13–1Biggest win — boulder

5Longest win streak

L3Current streak

4–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 58% over 19cacheWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	19	11–8	58%	0.04
dust2	B	16	8–8	50%	0.01
cache	D	15	5–10	33%	0.01
mirage	C	13	5–8	38%	0.02
anubis	C	8	3–5	38%	0.02
nuke	B	6	3–3	50%	-0.02
ancient	B	6	3–3	50%	-0.02
office	—	4	1–3	25%	0.01
vertigo	—	3	1–2	33%	0.02
boulder	—	2	2–0	100%	0.08
train	—	2	1–1	50%	0.03
warden	—	2	1–1	50%	-0.02
overpass	—	2	1–1	50%	-0.07
fachwerk	—	1	1–0	100%	-0.04
poseidon	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Lifetime stats

44,816Lifetime kills

1.18K/D · Top 25% of tracked players

2,248Matches

42.7%Match win rate

34.8%Headshot %

10.6%Shot accuracy

5,101MVPs

841Hours (in match)

2,133Bombs planted

554Bombs defused

Most-used weapons

AK-479,583

M4A4 / M4A1-S5,769

AWP5,587

SSG 083,438

P2000 / USP-S3,342

Desert Eagle2,760

Glock-181,821

MAC-101,353

MP9782

P90641

Lifetime map wins

6,208dust2

3,713inferno

1,234nuke

351train

316vertigo

205office

114dust

112italy

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

Faceit stats

Combat

29Matches

38%Win rate

0.95Avg K/D

73.7ADR

46%Headshot %

Clutches & streaks

44%1v1 clutch win

32%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	11	55%	1.13	15.4
Mirage	5	40%	0.92	13.0
Dust2	5	40%	0.78	11.8
Inferno	4	0%	0.84	13.5
Ancient	3	33%	0.84	12.0
Nuke	1	0%	0.80	16.0

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.

19.6%Headshot accuracy

34.1%Accuracy (enemy spotted)

39.6%Spray accuracy

83.1%Counter-strafing

9.3°Preaim

656msReaction time

33.8%T opening success

33.8%CT opening success

0.25Enemies flashed / flash

4.0%Flash assists

5.36HE damage / grenade

2.50Flashes / 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 0.2537 — 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 33.8168% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.05	13%	28 Aug →
inferno	10–13	-0.02	13%	28 Aug →
anubis	11–13	-0.03	16%	16 Aug →
dust2	13–4	0.15	18%	16 Aug →
inferno	13–5	-0.00	17%	16 Aug →
dust2	13–10	0.02	25%	16 Aug →
nuke	13–4	-0.08	23%	14 Aug →
dust2	0–13	-0.05	19%	14 Aug →
inferno	13–6	0.09	31%	14 Aug →
ancient	11–13	-0.06	21%	14 Aug →
cache	10–13	-0.02	13%	14 Aug →
dust2	8–13	-0.06	43%	14 Aug →
ancient	13–2	-0.00	15%	14 Aug →
dust2	12–12	0.03	19%	13 Aug →
fachwerk	13–7	-0.04	12%	10 Aug →
cache	13–7	0.11	39%	10 Aug →
inferno	13–11	0.16	24%	10 Aug →
mirage	10–13	0.10	19%	10 Aug →
mirage	3–13	0.01	24%	30 Jul →
anubis	3–13	-0.02	24%	30 Jul →
inferno	6–13	0.09	21%	30 Jul →
dust2	13–3	-0.00	14%	30 Jul →
mirage	3–13	-0.00	21%	30 Jul →
office	7–13	0.03	18%	30 Jul →
vertigo	13–10	0.02	16%	30 Jul →
cache	4–13	0.04	16%	26 Jul →
boulder	13–1	0.06	14%	20 Jul →
dust2	10–13	-0.06	11%	16 Jul →
mirage	16–14	0.04	19%	16 Jul →
mirage	13–9	0.10	10%	15 Jul →
dust2	5–13	-0.04	13%	15 Jul →
nuke	6–1	0.03	0%	15 Jul →
anubis	5–13	0.01	16%	15 Jul →
inferno	9–6	0.12	7%	15 Jul →
cache	6–13	0.01	27%	14 Jul →
inferno	0–13	-0.04	0%	14 Jul →
dust2	5–13	0.01	27%	12 Jul →
office	2–13	-0.03	5%	12 Jul →
boulder	11–4	0.10	13%	12 Jul →
anubis	13–10	-0.02	12%	12 Jul →
dust2	13–11	-0.06	18%	12 Jul →
inferno	11–13	-0.01	12%	12 Jul →
cache	10–13	-0.05	16%	11 Jul →
inferno	6–9	-0.07	21%	11 Jul →
anubis	10–13	0.06	9%	11 Jul →
ancient	7–13	0.02	15%	11 Jul →
cache	10–13	0.00	7%	11 Jul →
dust2	13–1	0.10	21%	11 Jul →
cache	13–9	0.08	16%	11 Jul →
mirage	13–9	0.03	14%	11 Jul →
nuke	10–13	0.04	14%	11 Jul →
cache	9–13	-0.03	10%	11 Jul →
anubis	13–2	0.13	14%	11 Jul →
mirage	15–15	0.10	11%	11 Jul →
inferno	13–7	0.01	11%	11 Jul →
dust2	13–7	0.11	14%	11 Jul →
dust2	13–1	0.11	14%	11 Jul →
train	3–13	-0.05	18%	11 Jul →
mirage	9–13	0.10	23%	9 Jul →
cache	11–13	-0.09	14%	9 Jul →
cache	9–13	0.00	19%	9 Jul →
inferno	2–9	-0.18	5%	9 Jul →
inferno	4–13	0.02	19%	8 Jul →
mirage	0–13	-0.08	10%	22 Jun →
warden	6–13	0.04	20%	21 Jun →
cache	4–0	0.02	27%	21 Jun →
poseidon	3–9	-0.01	13%	19 Jun →
office	13–5	-0.00	19%	14 Jun →
anubis	8–13	0.06	16%	3 Jun →
train	13–3	0.12	58%	30 May →
warden	13–10	-0.08	23%	29 May →
mirage	3–13	-0.02	25%	29 May →
cache	6–13	-0.01	25%	29 May →
vertigo	11–13	0.02	0%	28 May →
office	7–13	0.04	18%	28 May →
nuke	5–9	-0.12	6%	27 May →
inferno	9–1	0.21	16%	27 May →
inferno	7–0	0.07	10%	27 May →
nuke	9–3	0.07	23%	27 May →
anubis	16–13	0.01	25%	27 May →
cache	13–9	-0.02	14%	25 May →
ancient	5–13	-0.05	10%	25 May →
mirage	13–10	0.02	17%	25 May →
inferno	16–13	-0.02	5%	25 May →
overpass	13–10	0.01	30%	24 May →
inferno	9–2	0.21	19%	24 May →
cache	8–13	0.05	18%	6 May →
cache	13–6	0.10	11%	29 Apr →
inferno	13–8	0.12	8%	28 Apr →
ancient	13–9	-0.00	24%	28 Apr →
nuke	8–13	-0.06	6%	28 Apr →
dust2	13–7	0.01	25%	25 Apr →
mirage	2–13	-0.09	25%	25 Apr →
inferno	9–5	0.04	12%	25 Apr →
inferno	11–13	-0.02	15%	24 Apr →
overpass	4–9	-0.15	9%	23 Apr →
ancient	16–14	-0.01	11%	23 Apr →
dust2	11–13	-0.01	23%	23 Apr →
mirage	13–3	0.01	7%	23 Apr →
vertigo	8–8	0.02	13%	22 Apr →