ジェフ — CS2 Stats

76561198112199006[U:1:151933278]

1,543Tracked matches57%Win rate2022Tracked since

1,308Hours in CS

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating23,431Top 50% of 819 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)

CSDB Leaderboard#3790 of 15366 tracked

FaceitLevel 8 · 1,202 ELOTop 31.2% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning61

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY57–37–6Last 10057%Win rateWTWLWWWLWL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim8.8

Aggression8.9

Utility5.0

Positioning6.1

Opening Duels4.5

Clutch5.0

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 ropz 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: higher 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 88 — 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 58% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms 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

Aim8.8

Positioning6.1

Utility5.0

Mechanics7.1

Opening Duels4.5

Win Impact7.4

Composite 7.0/10 (Strong), 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 rating0.05−0.00

first ⅓ avg 0.05 → last ⅓ avg 0.05

Reaction time560ms−35ms

first ⅓ avg 595ms → last ⅓ avg 560ms

Headshot accuracy23.2%−1.2%

first ⅓ avg 24.4% → last ⅓ avg 23.2%

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

0.22Best rating — overpass 9–3

13–1Biggest win — cache

6Longest win streak

7–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 67% over 21anubisWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	25	12–13	48%	0.03
dust2	S	21	14–7	67%	0.05
inferno	A	15	9–6	60%	0.04
ancient	S	12	8–4	67%	0.02
nuke	B	10	5–5	50%	0.04
anubis	C	10	4–6	40%	0.02
cache	A	5	3–2	60%	0.09
overpass	—	2	2–0	100%	0.18

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,579Lifetime kills

1.13K/D · Top 50% of Pink band

4,638Matches

41.1%Match win rate

48.9%Headshot % · Top 50% of Pink band

6.7%Shot accuracy

7,262MVPs

1,308Hours (in match)

1,820Bombs planted

552Bombs defused

Most-used weapons

AK-4725,919

M4A4 / M4A1-S16,023

AWP8,696

Desert Eagle6,365

P2000 / USP-S3,235

Glock-182,629

MP92,537

Galil AR1,997

MAC-101,474

SSG 081,331

Lifetime map wins

6,500dust2

3,987inferno

2,418nuke

754office

740vertigo

462train

458italy

201militia

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

Faceit stats

Combat

171Matches

57%Win rate

1.28Avg K/D

87.7ADR

50%Headshot %

Clutches & streaks

45%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	57	65%	1.37	17.6
Dust2	36	44%	1.16	17.8
Inferno	25	56%	0.97	16.8
Ancient	18	56%	1.48	18.8
Nuke	13	69%	1.67	17.4
Anubis	9	44%	1.16	17.0
Overpass	6	67%	1.00	14.8
Cache	3	33%	1.41	21.7

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.

21.8%Headshot accuracy

39.9%Accuracy (enemy spotted)

42.9%Spray accuracy

82.1%Counter-strafing

9.0°Preaim

558msReaction time

37.8%T opening success

57.9%CT opening success

0.57Enemies flashed / flash

9.6%Flash assists

6.24HE damage / grenade

8.09Flashes / 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 37.7904% — 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.

40% 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
dust2	13–8	0.02	28%	28 Aug →
nuke	12–12	-0.01	13%	28 Aug →
ancient	13–9	0.01	25%	28 Aug →
dust2	8–13	-0.03	38%	27 Aug →
anubis	13–9	0.05	22%	27 Aug →
ancient	13–10	0.04	13%	27 Aug →
inferno	9–2	0.15	34%	26 Aug →
inferno	5–13	0.01	26%	25 Aug →
overpass	9–6	0.14	33%	25 Aug →
anubis	8–13	0.01	14%	24 Aug →
nuke	13–6	-0.03	31%	24 Aug →
nuke	13–7	0.11	27%	24 Aug →
mirage	13–5	0.04	20%	22 Aug →
anubis	10–13	0.04	22%	22 Aug →
cache	13–1	0.07	16%	22 Aug →
cache	13–10	0.03	19%	20 Aug →
ancient	13–2	0.08	21%	20 Aug →
dust2	10–13	0.07	21%	20 Aug →
mirage	8–13	-0.06	25%	19 Aug →
mirage	9–13	0.03	33%	18 Aug →
mirage	9–13	0.05	17%	18 Aug →
overpass	9–3	0.22	30%	18 Aug →
ancient	13–11	0.00	21%	18 Aug →
cache	3–3	0.11	38%	17 Aug →
mirage	13–10	0.01	23%	17 Aug →
nuke	12–12	0.07	27%	17 Aug →
anubis	13–11	0.04	11%	16 Aug →
inferno	13–6	-0.00	13%	16 Aug →
mirage	10–13	-0.07	17%	16 Aug →
mirage	7–13	0.08	23%	16 Aug →
cache	13–5	0.22	21%	16 Aug →
inferno	13–5	0.01	22%	16 Aug →
nuke	7–13	-0.01	23%	16 Aug →
mirage	2–13	0.00	24%	15 Aug →
mirage	13–5	0.11	24%	15 Aug →
mirage	13–11	-0.03	21%	14 Aug →
dust2	15–15	0.03	16%	9 Aug →
inferno	4–10	0.07	11%	8 Aug →
inferno	13–7	0.06	22%	7 Aug →
mirage	10–13	-0.01	15%	7 Aug →
nuke	13–6	0.12	26%	7 Aug →
dust2	13–9	0.11	29%	4 Aug →
dust2	13–10	0.03	22%	4 Aug →
mirage	13–8	0.10	18%	3 Aug →
ancient	13–9	0.02	33%	3 Aug →
dust2	13–4	0.11	19%	3 Aug →
mirage	10–13	0.03	27%	31 Jul →
mirage	13–7	0.03	22%	30 Jul →
mirage	10–13	0.02	16%	29 Jul →
mirage	13–7	0.12	23%	29 Jul →
nuke	6–13	-0.08	15%	28 Jul →
dust2	4–13	-0.02	21%	28 Jul →
ancient	5–13	-0.01	18%	28 Jul →
dust2	10–13	0.02	18%	28 Jul →
anubis	13–2	0.01	31%	28 Jul →
mirage	4–13	-0.01	19%	27 Jul →
dust2	13–11	0.02	23%	27 Jul →
ancient	10–13	-0.01	10%	27 Jul →
nuke	13–5	0.07	27%	26 Jul →
dust2	13–2	0.08	12%	26 Jul →
anubis	5–13	-0.04	15%	26 Jul →
inferno	13–10	0.03	31%	26 Jul →
mirage	9–13	-0.01	23%	25 Jul →
ancient	13–11	-0.02	6%	25 Jul →
ancient	11–13	-0.02	25%	23 Jul →
anubis	13–11	0.02	22%	20 Jul →
nuke	13–4	0.12	33%	20 Jul →
mirage	8–1	0.08	24%	20 Jul →
inferno	6–13	0.06	14%	19 Jul →
mirage	13–9	0.01	16%	19 Jul →
inferno	13–4	0.04	28%	19 Jul →
mirage	13–9	0.05	22%	18 Jul →
inferno	13–11	0.11	28%	18 Jul →
dust2	13–4	0.16	38%	17 Jul →
mirage	13–4	0.12	26%	17 Jul →
cache	8–13	0.02	25%	17 Jul →
dust2	13–8	0.04	27%	17 Jul →
dust2	13–9	0.02	25%	16 Jul →
dust2	13–7	0.03	41%	16 Jul →
ancient	13–6	0.06	29%	13 Jul →
inferno	13–6	-0.03	24%	13 Jul →
mirage	5–13	-0.04	21%	13 Jul →
inferno	7–13	-0.06	25%	13 Jul →
mirage	6–13	0.04	25%	13 Jul →
anubis	15–15	0.10	19%	12 Jul →
inferno	13–5	0.09	27%	11 Jul →
anubis	15–15	0.01	21%	11 Jul →
nuke	6–13	0.02	22%	11 Jul →
mirage	13–3	0.12	16%	11 Jul →
dust2	12–16	0.02	29%	10 Jul →
inferno	8–13	-0.02	22%	10 Jul →
anubis	2–13	0.00	26%	10 Jul →
ancient	12–12	0.04	20%	9 Jul →
inferno	10–13	0.05	22%	6 Jul →
dust2	13–3	0.03	13%	5 Jul →
dust2	13–4	0.07	27%	5 Jul →
dust2	11–13	0.02	16%	5 Jul →
dust2	13–2	0.11	25%	4 Jul →
dust2	13–8	0.15	49%	4 Jul →
ancient	13–6	0.04	13%	3 Jul →