Jexzee — CS2 Stats

NL76561198094212984[U:1:133947256]Steam profile ↗✓ No bans

2,128Tracked matches60%Win rate2020Tracked since

CSDB Rating7.6 StrongAggressive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim91

Positioning66

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY58–42Last 10058%Win rateWWLLLWLWLW

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim9.1

Aggression7.7

Utility6.2

Positioning6.6

Opening Duels3.3

Clutch3.6

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 b1t 98% playstyle similarity

Most alike: positioning profile, 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 91 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim9.1

Positioning6.6

Utility6.2

Mechanics7.2

Opening Duels3.8

Win Impact8.3

Composite 7.6/10 (Strong), 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 rating0.04+0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time590ms+6ms

first ⅓ avg 584ms → last ⅓ avg 590ms

Headshot accuracy25.6%−0.1%

first ⅓ avg 25.7% → last ⅓ avg 25.6%

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

0.20Best rating — mirage 13–6

13–1Biggest win — anubis

6Longest win streak

W2Current streak

6–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 69% over 16nukeWeakest map · 50% over 12

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	31	18–13	58%	0.04
mirage	A	19	11–8	58%	0.04
anubis	S	16	11–5	69%	0.06
dust2	A	14	8–6	57%	0.03
nuke	B	12	6–6	50%	0.03
overpass	—	4	1–3	25%	0.04
inferno	—	2	1–1	50%	0.03
alpine	—	1	1–0	100%	0.02
cache	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,895Matches

53%Win rate

1.27Avg K/D

84.0ADR

56%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	312	53%	1.28	17.6
Anubis	251	57%	1.38	17.9
Mirage	225	54%	1.34	18.1
Nuke	160	48%	1.29	18.1
Dust2	106	51%	1.37	17.6
Overpass	85	59%	1.33	18.1
Inferno	68	54%	1.44	17.7
Train	61	51%	1.30	17.8

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.

26.1%Headshot accuracy

40.2%Accuracy (enemy spotted)

44.2%Spray accuracy

82.6%Counter-strafing

8.3°Preaim

592msReaction time

26.5%T opening success

60.1%CT opening success

0.49Enemies flashed / flash

12.0%Flash assists

8.57HE damage / grenade

10.83Flashes / 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 0.4893 — 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 26.5224% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
anubis	16–14	0.06	40%	18 Aug →
ancient	13–10	0.06	36%	6 Aug →
ancient	9–13	-0.00	38%	2 Aug →
ancient	11–13	-0.01	16%	16 Jul →
nuke	9–13	0.01	31%	13 Jul →
nuke	13–8	-0.04	21%	3 Jul →
inferno	11–13	0.00	29%	2 Jul →
inferno	13–6	0.07	18%	25 Jun →
mirage	10–13	0.04	23%	18 Jun →
dust2	13–6	0.09	20%	13 Jun →
ancient	13–10	0.08	31%	9 Jun →
alpine	13–4	0.02	13%	5 Jun →
dust2	13–9	0.01	35%	5 Jun →
anubis	13–7	0.02	24%	5 Jun →
ancient	13–5	0.05	26%	1 Jun →
dust2	11–13	0.03	24%	28 May →
mirage	10–13	0.07	33%	26 May →
mirage	13–10	0.03	24%	25 May →
dust2	13–5	0.11	27%	25 May →
mirage	13–5	0.13	23%	25 May →
ancient	9–13	0.07	16%	25 May →
ancient	13–5	0.10	26%	25 May →
mirage	13–8	0.06	18%	25 May →
overpass	5–13	0.00	21%	18 May →
ancient	10–13	-0.03	20%	16 May →
ancient	13–7	0.02	22%	14 May →
ancient	13–9	0.05	32%	12 May →
ancient	16–13	0.09	31%	9 May →
nuke	10–13	0.07	32%	8 May →
mirage	4–13	-0.03	17%	6 May →
nuke	13–4	0.09	31%	24 Apr →
anubis	13–11	-0.00	24%	24 Apr →
anubis	20–22	0.06	23%	23 Apr →
mirage	13–11	0.03	24%	23 Apr →
overpass	10–13	-0.00	19%	22 Apr →
cache	13–8	-0.01	22%	22 Apr →
ancient	4–13	-0.01	24%	22 Apr →
ancient	13–7	0.05	21%	21 Apr →
dust2	9–13	0.00	25%	21 Apr →
overpass	4–13	0.14	30%	21 Apr →
anubis	13–8	0.08	46%	21 Apr →
mirage	10–13	0.00	21%	20 Apr →
anubis	13–1	0.09	37%	20 Apr →
anubis	13–10	0.11	26%	19 Apr →
ancient	6–13	-0.03	27%	19 Apr →
ancient	13–5	0.10	38%	19 Apr →
nuke	8–13	0.03	31%	18 Apr →
mirage	16–12	0.03	24%	17 Apr →
ancient	13–8	-0.01	20%	17 Apr →
anubis	13–8	0.01	26%	13 Apr →
dust2	13–8	0.02	31%	13 Apr →
ancient	13–4	0.20	38%	12 Apr →
dust2	16–14	0.04	31%	12 Apr →
ancient	13–16	0.05	12%	12 Apr →
mirage	8–13	0.02	23%	12 Apr →
ancient	13–3	0.03	13%	12 Apr →
anubis	13–2	0.17	37%	11 Apr →
mirage	13–7	-0.02	28%	11 Apr →
ancient	13–7	0.07	7%	10 Apr →
ancient	14–16	-0.01	21%	10 Apr →
nuke	13–4	0.12	32%	10 Apr →
ancient	11–13	0.05	26%	9 Apr →
nuke	7–13	-0.01	17%	9 Apr →
ancient	3–13	-0.02	21%	9 Apr →
anubis	8–13	0.04	39%	8 Apr →
nuke	13–10	0.09	27%	8 Apr →
ancient	16–13	0.04	26%	7 Apr →
anubis	16–14	0.09	27%	6 Apr →
dust2	6–13	0.01	30%	6 Apr →
overpass	13–10	0.04	14%	6 Apr →
anubis	8–13	0.01	27%	5 Apr →
ancient	13–8	0.06	21%	5 Apr →
mirage	5–13	0.01	17%	3 Apr →
mirage	10–13	-0.02	17%	3 Apr →
mirage	13–6	0.20	31%	3 Apr →
ancient	13–4	0.06	22%	3 Apr →
nuke	10–13	0.02	32%	3 Apr →
ancient	7–13	0.01	24%	2 Apr →
mirage	13–9	0.07	29%	2 Apr →
anubis	13–9	0.09	26%	1 Apr →
mirage	13–4	-0.04	30%	1 Apr →
nuke	11–13	-0.04	23%	27 Mar →
mirage	10–13	0.01	25%	27 Mar →
dust2	4–13	-0.04	32%	27 Mar →
ancient	13–16	-0.01	26%	26 Mar →
dust2	13–11	0.07	27%	26 Mar →
dust2	10–13	0.01	31%	24 Mar →
ancient	11–13	-0.01	25%	23 Mar →
dust2	13–10	-0.06	19%	23 Mar →
ancient	13–7	0.09	21%	23 Mar →
anubis	10–13	-0.00	22%	23 Mar →
nuke	13–6	0.03	14%	21 Mar →
mirage	13–4	0.13	50%	19 Mar →
anubis	13–8	0.06	25%	16 Mar →
mirage	16–13	0.04	33%	16 Mar →
dust2	11–13	0.03	26%	15 Mar →
nuke	13–10	0.04	27%	15 Mar →
ancient	16–13	0.11	37%	15 Mar →
anubis	17–19	0.04	15%	15 Mar →
dust2	13–4	0.12	22%	15 Mar →