JeBipp — CS2 Stats

76561198799294778[U:1:839029050]

661Tracked matches45%Win rate2021Tracked since

525Hours in CS

CSDB Rating5.0 DevelopingAggressive Rifler

Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)

CSDB Leaderboard#15981 of 21756 tracked

FaceitLevel 6 · 1,247 ELOTop 54.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning59

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateWLWWLWWWLT

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.1

Aggression7.6

Utility3.2

Positioning5.9

Opening Duels3.3

Clutch1.4

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 88% playstyle similarity

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

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

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

Reaction time. 606ms 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

Positioning5.9

Utility3.2

Mechanics7.6

Opening Duels3.3

Win Impact3.3

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time605ms−85ms

first ⅓ avg 690ms → last ⅓ avg 605ms

Headshot accuracy34.7%+3.1%

first ⅓ avg 31.6% → last ⅓ avg 34.7%

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

0.17Best rating — mirage 13–2

13–0Biggest win — mirage

6Longest win streak

7–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 55% over 20anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	26	14–12	54%	-0.00
mirage	A	20	11–9	55%	-0.01
inferno	B	17	8–9	47%	-0.01
dust2	C	12	5–7	42%	-0.02
ancient	A	11	6–5	55%	0.00
anubis	D	8	2–6	25%	-0.01
vertigo	—	2	2–0	100%	0.00
train	—	2	0–2	0%	-0.07
cache	—	1	1–0	100%	-0.01
overpass	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,774Lifetime kills

1.00K/D

1,586Matches

43.3%Match win rate

51.5%Headshot % · Top 50% of tracked players

12.4%Shot accuracy · Top 50% of tracked players

2,930MVPs

525Hours (in match)

405Bombs planted

313Bombs defused

Most-used weapons

AK-478,059

AWP3,568

M4A4 / M4A1-S3,498

Desert Eagle2,726

P2000 / USP-S1,521

Glock-18955

SG 553838

MAG-7639

SSG 08624

MAC-10443

Lifetime map wins

1,626inferno

1,624dust2

1,585vertigo

1,420nuke

389train

74cbble

66office

65lake

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

Faceit stats

Combat

73Matches

55%Win rate

1.03Avg K/D

75.6ADR

62%Headshot %

Clutches & streaks

27%1v1 clutch win

32%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	17	35%	1.00	15.8
Inferno	16	75%	1.30	16.9
Dust2	11	55%	1.09	14.4
Nuke	10	50%	0.76	13.1
Anubis	8	50%	1.04	15.8
Ancient	6	83%	0.94	16.8
Train	3	67%	1.00	14.3
Overpass	1	0%	0.27	4.0

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.

34.1%Headshot accuracy

27.3%Accuracy (enemy spotted)

26.2%Spray accuracy

84.1%Counter-strafing

10.4°Preaim

606msReaction time

44.9%T opening success

41.6%CT opening success

0.40Enemies flashed / flash

5.7%Flash assists

5.66HE damage / grenade

8.52Flashes / 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 0.4021 — below the 0.5 mark we flag
Grenade Lineups →

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.

25% win rate across 8 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
nuke	13–1	0.09	38%	25 May →
inferno	8–13	-0.01	36%	10 May →
anubis	13–6	0.03	33%	29 Apr →
cache	13–6	-0.01	21%	28 Apr →
ancient	10–13	0.04	56%	26 Apr →
inferno	13–8	-0.01	44%	22 Apr →
dust2	13–5	-0.03	36%	20 Apr →
mirage	13–8	0.03	53%	20 Apr →
mirage	7–13	-0.06	11%	19 Apr →
dust2	15–15	-0.03	28%	19 Apr →
mirage	10–13	-0.04	33%	19 Apr →
nuke	13–7	-0.04	43%	19 Apr →
inferno	10–13	-0.05	39%	13 Apr →
nuke	13–7	0.03	41%	13 Apr →
inferno	11–13	-0.03	42%	13 Apr →
dust2	9–13	-0.01	23%	12 Apr →
mirage	7–13	-0.06	40%	30 Mar →
mirage	13–2	0.17	34%	30 Mar →
ancient	9–13	-0.06	31%	28 Feb →
anubis	6–13	0.01	38%	26 Feb →
nuke	13–10	-0.06	29%	26 Feb →
ancient	22–18	0.00	29%	24 Feb →
ancient	13–5	0.02	24%	24 Feb →
nuke	11–13	-0.07	26%	19 Feb →
nuke	9–13	-0.03	35%	17 Feb →
nuke	13–11	0.13	37%	17 Feb →
inferno	8–13	0.03	36%	12 Feb →
ancient	2–13	0.00	50%	10 Feb →
dust2	9–13	-0.08	23%	6 Feb →
mirage	6–13	-0.07	23%	6 Feb →
nuke	11–13	-0.05	40%	6 Feb →
nuke	13–4	0.08	47%	5 Feb →
anubis	3–13	-0.03	25%	5 Feb →
ancient	11–13	-0.02	44%	3 Feb →
nuke	13–4	-0.03	27%	3 Feb →
dust2	8–13	-0.02	21%	3 Feb →
nuke	9–13	-0.03	35%	30 Jan →
mirage	16–14	-0.00	26%	30 Jan →
nuke	13–7	0.03	27%	30 Jan →
ancient	13–8	0.02	26%	29 Jan →
anubis	9–13	-0.04	17%	29 Jan →
mirage	13–5	-0.06	33%	27 Jan →
nuke	16–13	0.04	42%	23 Jan →
anubis	9–13	0.04	23%	23 Jan →
anubis	4–13	-0.06	30%	23 Jan →
ancient	13–3	-0.02	24%	23 Jan →
mirage	5–13	-0.05	44%	22 Jan →
anubis	10–13	0.01	40%	22 Jan →
nuke	17–19	-0.01	47%	21 Jan →
anubis	13–9	-0.03	36%	21 Jan →
mirage	13–5	0.00	25%	21 Jan →
nuke	13–9	0.10	43%	15 Jan →
dust2	3–13	-0.03	44%	15 Jan →
inferno	11–13	-0.05	16%	8 Jan →
inferno	11–13	0.01	38%	6 Jan →
dust2	13–9	0.02	20%	6 Jan →
nuke	11–13	-0.03	46%	6 Jan →
nuke	11–13	-0.02	27%	24 Dec →
mirage	9–13	0.03	40%	23 Dec →
ancient	13–8	0.06	22%	23 Dec →
nuke	8–13	-0.01	28%	23 Dec →
nuke	5–13	0.01	39%	23 Dec →
dust2	13–8	0.04	29%	23 Dec →
mirage	13–0	0.04	57%	23 Dec →
nuke	13–10	-0.01	28%	23 Dec →
mirage	13–11	0.12	39%	23 Dec →
mirage	13–9	-0.05	25%	23 Dec →
mirage	13–10	-0.00	40%	22 Dec →
inferno	5–13	-0.04	25%	22 Dec →
dust2	13–8	-0.04	24%	22 Dec →
nuke	8–13	-0.06	32%	22 Dec →
mirage	4–13	-0.01	23%	22 Dec →
mirage	13–16	-0.01	44%	21 Dec →
dust2	13–11	0.00	27%	17 Dec →
mirage	13–7	-0.02	26%	17 Dec →
nuke	8–13	-0.06	20%	16 Dec →
ancient	13–9	-0.03	26%	16 Dec →
vertigo	13–2	0.01	27%	16 Dec →
inferno	16–13	0.04	28%	16 Dec →
ancient	11–13	0.01	25%	15 Dec →
mirage	16–14	0.00	18%	15 Dec →
overpass	13–9	0.01	15%	15 Dec →
dust2	10–13	-0.04	26%	15 Dec →
inferno	16–14	0.00	35%	15 Dec →
inferno	10–13	-0.08	38%	12 Dec →
inferno	13–10	0.01	28%	12 Dec →
inferno	13–3	0.00	33%	3 Dec →
mirage	5–13	-0.08	42%	3 Dec →
nuke	13–4	-0.00	17%	18 Nov →
dust2	9–13	-0.08	38%	17 Nov →
inferno	7–13	-0.02	48%	11 Nov →
nuke	16–14	-0.07	27%	11 Nov →
train	7–13	-0.08	30%	11 Nov →
nuke	5–13	-0.04	27%	11 Nov →
train	10–13	-0.05	37%	11 Nov →
inferno	10–1	0.03	71%	11 Nov →
nuke	13–6	0.03	54%	10 Nov →
inferno	11–2	0.03	30%	10 Nov →
inferno	13–5	-0.07	33%	5 Nov →
vertigo	13–5	-0.01	27%	5 Nov →