Jei Di Vhanz — CS2 Stats

KY76561197997559103[U:1:37293375]Steam profile ↗✓ No bans

455Tracked matches40%Win rate2020Tracked since

CSDB Rating5.4 DevelopingSupport

CSDB Leaderboard#251806 of 261698 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (51 days ago). Ranks are recorded once per day this page is viewed.

+27Tracked matches · now 455

−27.9ppWin rate · 67.9% → 40.0%

Rating over time

Faceit ELO: 1,300 +0 28 Aug – 25 Sept · 4 observations

1,300Highest Faceit ELO seen on CSDB

46Days played since 2026-06-08

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim75

Positioning44

Utility75

0–100 skill scores via Leetify.

Recent form

STEADY52–38–10Last 10052%Win rateLTWWLWWTLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +2.5pp headshot accuracy · +63ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating 0.05
Avg headshot accuracy 15%
Avg reaction 576ms

Last 10

4–4–2 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 18%
Avg reaction 588ms

Last 20

6–9–5 · 30% win rate
Avg rating 0.03
Avg headshot accuracy 17%
Avg reaction 557ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+3.8 against its own average).

Aim7.5

Utility7.5

Positioning4.4

Opening Duels0.0

Clutch3.0

Effective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 583ms 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

Aim7.5

Positioning4.4

Utility7.5

Mechanics6.0

Opening Duels0.5

Win Impact1.7

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time577ms−24ms

first ⅓ avg 601ms → last ⅓ avg 577ms

Headshot accuracy18.9%−1.1%

first ⅓ avg 19.9% → last ⅓ avg 18.9%

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.

Personal bests

0.15Best match rating · 13–1 · dust2, 10 Jul →

37%Best headshot accuracy · 4–13 · dust2, 17 Jul →

445msFastest reaction time · 13–7 · dust2, 12 Jul →

13–1Biggest win · dust2, 10 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

6–4In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 2 of 7 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	66	34–32	52%	0.03
cache	B	27	14–13	52%	0.03
overpass	—	3	2–1	67%	0.01
ancient	—	1	0–1	0%	-0.06
mirage	—	1	1–0	100%	0.02
vertigo	—	1	0–1	0%	-0.03
fachwerk	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Faceit stats

Combat

289Matches

55%Win rate

1.43Avg K/D

95.0ADR

42%Headshot %

Clutches & streaks

35%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	15	60%	1.35	20.1
Dust2	12	67%	1.86	23.1
Ancient	10	60%	1.36	19.9
Inferno	6	67%	1.53	20.0
Nuke	3	33%	1.84	19.0
Overpass	2	0%	1.06	22.0
Train	1	100%	1.31	17.0

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.

18.2%Headshot accuracy

35.5%Accuracy (enemy spotted)

40.0%Spray accuracy

77.1%Counter-strafing

8.4°Preaim

583msReaction time

28.3%T opening success

33.7%CT opening success

0.85Enemies flashed / flash

6.4%Flash assists

7.21HE damage / grenade

15.36Flashes / 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 28.2828% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	3–13	0.09	18%	4 Nov →
dust2	12–12	0.12	17%	30 Oct →
cache	13–9	0.08	21%	24 Oct →
dust2	13–7	-0.05	12%	24 Oct →
cache	10–13	0.01	9%	24 Oct →
dust2	13–4	0.08	21%	16 Oct →
dust2	13–3	0.13	31%	16 Oct →
cache	12–12	0.01	21%	16 Oct →
dust2	2–13	-0.06	23%	16 Oct →
dust2	9–13	-0.01	13%	12 Oct →
dust2	13–5	0.08	19%	11 Oct →
cache	13–10	0.09	10%	11 Oct →
dust2	7–13	-0.02	20%	11 Oct →
dust2	12–12	-0.02	14%	9 Oct →
cache	3–13	-0.04	12%	9 Oct →
dust2	11–13	-0.00	22%	9 Oct →
dust2	12–12	-0.01	25%	8 Oct →
cache	12–12	0.04	14%	8 Oct →
cache	1–13	0.03	9%	6 Oct →
dust2	8–13	0.07	17%	6 Oct →
dust2	7–13	0.03	30%	4 Oct →
dust2	9–13	0.02	22%	3 Oct →
dust2	9–13	-0.05	13%	30 Sept →
cache	6–0	0.03	14%	30 Sept →
cache	8–13	-0.03	23%	28 Sept →
dust2	13–11	0.11	29%	28 Sept →
cache	10–13	0.01	18%	23 Sept →
dust2	13–2	0.07	9%	23 Sept →
dust2	13–4	0.06	19%	23 Sept →
dust2	4–13	-0.02	18%	22 Sept →
dust2	13–10	0.07	30%	19 Sept →
dust2	8–13	-0.04	23%	18 Sept →
cache	12–12	0.03	30%	18 Sept →
dust2	10–13	0.00	17%	17 Sept →
dust2	10–13	0.10	19%	16 Sept →
dust2	3–13	0.00	24%	15 Aug →
cache	13–8	0.05	21%	15 Aug →
dust2	13–9	0.09	23%	15 Aug →
dust2	11–13	0.01	11%	14 Aug →
dust2	13–9	-0.01	26%	14 Aug →
dust2	13–8	0.04	16%	11 Aug →
dust2	13–11	0.08	25%	9 Aug →
cache	13–4	-0.03	18%	9 Aug →
dust2	13–8	0.12	20%	9 Aug →
ancient	1–13	-0.06	33%	8 Aug →
dust2	13–8	0.03	10%	5 Aug →
cache	13–5	0.10	15%	5 Aug →
dust2	13–6	0.09	13%	5 Aug →
dust2	13–7	-0.02	16%	5 Aug →
mirage	13–5	0.02	17%	5 Aug →
dust2	13–7	0.09	20%	4 Aug →
cache	4–13	0.03	18%	4 Aug →
dust2	13–10	0.12	19%	3 Aug →
dust2	12–12	0.05	19%	3 Aug →
vertigo	10–13	-0.03	9%	2 Aug →
cache	13–2	0.09	14%	2 Aug →
dust2	13–5	0.03	13%	2 Aug →
dust2	13–9	0.02	16%	2 Aug →
dust2	13–6	0.02	26%	1 Aug →
dust2	5–6	-0.00	14%	29 Jul →
dust2	4–13	-0.01	18%	26 Jul →
dust2	11–13	-0.03	15%	20 Jul →
dust2	13–8	0.13	25%	20 Jul →
overpass	8–13	-0.01	14%	18 Jul →
fachwerk	13–11	0.03	23%	18 Jul →
cache	13–6	0.06	15%	18 Jul →
dust2	13–7	-0.03	19%	18 Jul →
dust2	7–13	0.09	24%	18 Jul →
dust2	13–9	-0.09	18%	17 Jul →
dust2	11–13	0.09	28%	17 Jul →
dust2	4–13	0.02	37%	17 Jul →
dust2	8–13	0.02	14%	17 Jul →
cache	13–9	0.04	23%	17 Jul →
dust2	13–10	0.07	14%	16 Jul →
cache	12–12	0.03	22%	16 Jul →
dust2	6–13	-0.03	22%	16 Jul →
overpass	13–11	0.01	19%	12 Jul →
cache	13–8	0.02	11%	12 Jul →
dust2	13–7	0.06	19%	12 Jul →
cache	12–12	0.02	29%	12 Jul →
dust2	13–8	0.02	17%	12 Jul →
cache	13–8	0.08	31%	10 Jul →
dust2	13–1	0.15	15%	10 Jul →
cache	13–3	0.01	15%	9 Jul →
dust2	13–11	-0.03	15%	9 Jul →
dust2	13–5	0.08	17%	5 Jul →
dust2	8–13	0.05	20%	5 Jul →
dust2	8–13	-0.02	26%	4 Jul →
dust2	13–5	0.05	22%	3 Jul →
cache	9–13	0.10	16%	3 Jul →
dust2	13–7	-0.01	15%	3 Jul →
overpass	13–6	0.03	15%	27 Jun →
dust2	9–13	-0.07	22%	27 Jun →
cache	13–5	0.01	9%	27 Jun →
dust2	6–13	-0.05	17%	24 Jun →
cache	4–13	0.00	19%	14 Jun →
dust2	9–13	0.01	20%	14 Jun →
dust2	12–12	0.07	22%	13 Jun →
cache	13–7	0.01	29%	8 Jun →
dust2	13–7	-0.03	20%	8 Jun →