★ JixxY — CS2 Stats

DE76561198015180770[U:1:54915042]Steam profile ↗VAC banned

3,135Tracked matches59%Win rate2020Tracked since

6,029Hours in CS35Hrs last 2 wks

CSDB Rating6.6 SolidPositional Player

Premier CS Rating18,953Top 50% of 200,982 CSDB-tracked playersPurple band · top ~12.7% of ranked players (population est.)

CSDB Leaderboard#94837 of 247868 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,953 -1,945 12 Jul – 29 Sept · 28 days played

23,484Peak Premier in tracked matches

41Days played since 2026-07-11

Premier CS Rating

4,175 below peak (23,128)
-944 over 30 days · declining
-1,945 over 90 days
Next: Pink band at 20,000 — 1,047 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	81	—	—
Win rate	63%	—	—
K/D	0.99	—	—
Headshot %	60%	—	—

Measured 31 Aug 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=13,870), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 7 median	Level 8 median	vs Level 8
Headshot rate	49.5%	45.7%	46.8%	above
Shot accuracy	15.3%	12.7%	13.0%	above
Kill/death ratio	1.01	1.05	1.06	0.05 short
Match win rate	44.8%	45.7%	46.3%	1.5% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

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Performance scores

Aim75

Positioning63

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLWWLWLWWLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +8.2pp headshot accuracy · +87ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 30%
Avg reaction 509ms

Last 10

6–4 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 26%
Avg reaction 574ms

Last 20

12–7–1 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 22%
Avg reaction 531ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim7.5

Utility6.0

Positioning6.3

Opening Duels4.6

Clutch2.8

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 jL 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.5

Positioning6.3

Utility6.0

Mechanics6.0

Opening Duels4.6

Win Impact7.9

Composite 6.6/10 (Solid), 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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time541ms−98ms

first ⅓ avg 639ms → last ⅓ avg 541ms

Headshot accuracy20.4%−3.1%

first ⅓ avg 23.4% → last ⅓ avg 20.4%

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

0.11Best match rating · 13–6 · cache, 11 Jul →

54%Best headshot accuracy · 13–6 · dust2, 12 Jul →

359msFastest reaction time · 7–13 · anubis, 22 Aug →

13–2Biggest win · ancient, 20 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

9–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 68% over 19infernoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	31	18–13	58%	0.01
anubis	S	19	13–6	68%	0.01
cache	B	13	7–6	54%	0.01
nuke	B	13	6–7	46%	-0.01
inferno	D	8	1–7	13%	-0.03
mirage	C	7	3–4	43%	-0.03
ancient	C	5	2–3	40%	-0.02
vertigo	—	2	2–0	100%	0.02
usp_containment	—	1	1–0	100%	0.05
faceitaimdeagle	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

157,877Lifetime kills

1.01K/D

7,321Matches

44.8%Match win rate

49.5%Headshot % · Top 50% of Level 7 players

15.3%Shot accuracy · Top 50% of Level 7 players

19,208MVPs

3,611Hours (in match)

4,895Bombs planted

1,666Bombs defused

Most-used weapons

AK-4743,646

Desert Eagle28,241

M4A4 / M4A1-S20,954

AWP19,327

P2000 / USP-S10,139

Glock-187,810

SSG 085,302

P2501,871

MAC-101,712

Galil AR1,633

Lifetime map wins

36,087dust2

9,964inferno

3,462nuke

2,302vertigo

940train

918cbble

185italy

175office

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

Faceit stats

Combat

709Matches

51%Win rate

0.98Avg K/D

77.8ADR

49%Headshot %

Clutches & streaks

34%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	184	53%	1.00	15.7
Anubis	105	50%	0.93	15.7
Inferno	62	42%	0.84	14.0
Nuke	53	55%	0.91	15.1
Mirage	50	48%	0.92	15.4
Ancient	28	43%	0.80	14.0
Vertigo	26	62%	1.07	17.9
Cache	14	50%	0.83	12.5

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.

19.1%Headshot accuracy

32.8%Accuracy (enemy spotted)

37.0%Spray accuracy

76.9%Counter-strafing

8.4°Preaim

526msReaction time

49.1%T opening success

48.0%CT opening success

0.62Enemies flashed / flash

5.0%Flash assists

8.70HE damage / grenade

9.95Flashes / match

Recommended for you

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	9–13	-0.00	41%	29 Sept →
anubis	13–8	0.05	23%	29 Sept →
vertigo	9–4	0.04	41%	26 Sept →
cache	10–13	-0.02	23%	24 Sept →
vertigo	13–6	0.00	21%	23 Sept →
mirage	9–13	-0.02	21%	23 Sept →
nuke	13–3	-0.01	16%	23 Sept →
dust2	4–0	-0.00	7%	23 Sept →
cache	14–16	0.00	23%	22 Sept →
dust2	13–9	0.03	47%	22 Sept →
anubis	13–5	-0.05	14%	20 Sept →
ancient	13–2	0.02	7%	20 Sept →
ancient	15–15	0.00	12%	17 Sept →
anubis	8–13	-0.04	15%	12 Sept →
nuke	6–13	0.01	50%	12 Sept →
dust2	8–13	-0.04	16%	12 Sept →
anubis	13–8	0.03	21%	12 Sept →
dust2	13–11	0.09	17%	6 Sept →
dust2	13–5	0.05	27%	6 Sept →
ancient	13–3	-0.06	3%	6 Sept →
dust2	13–7	-0.03	8%	5 Sept →
dust2	13–9	0.05	23%	5 Sept →
cache	3–13	-0.07	14%	5 Sept →
anubis	16–13	-0.04	12%	4 Sept →
dust2	9–13	-0.06	13%	3 Sept →
anubis	13–10	-0.00	13%	2 Sept →
nuke	16–13	-0.03	17%	1 Sept →
dust2	4–13	-0.07	14%	30 Aug →
dust2	5–13	0.00	16%	30 Aug →
cache	10–13	0.01	17%	30 Aug →
anubis	13–9	-0.04	9%	30 Aug →
usp_containment	16–13	0.05	44%	30 Aug →
faceitaimdeagle	13–11	0.04	29%	30 Aug →
dust2	16–19	0.03	16%	28 Aug →
anubis	13–11	0.04	10%	28 Aug →
anubis	13–3	0.07	24%	28 Aug →
inferno	7–9	-0.03	20%	27 Aug →
anubis	11–13	0.02	17%	27 Aug →
cache	13–5	-0.01	41%	27 Aug →
inferno	9–13	-0.03	19%	27 Aug →
mirage	11–13	-0.02	21%	26 Aug →
inferno	13–11	-0.07	17%	26 Aug →
dust2	14–16	-0.06	28%	24 Aug →
anubis	16–14	-0.04	15%	23 Aug →
mirage	13–10	-0.06	4%	23 Aug →
anubis	7–13	-0.02	15%	22 Aug →
anubis	13–2	0.05	31%	21 Aug →
anubis	8–13	-0.00	18%	19 Aug →
dust2	10–13	-0.04	19%	19 Aug →
dust2	8–13	0.01	35%	18 Aug →
dust2	5–13	0.00	44%	16 Aug →
anubis	3–13	-0.00	11%	12 Aug →
mirage	13–6	0.01	21%	12 Aug →
inferno	10–13	-0.03	18%	9 Aug →
nuke	4–13	-0.03	22%	6 Aug →
dust2	13–2	0.08	32%	5 Aug →
dust2	13–7	-0.00	24%	25 Jul →
dust2	13–8	0.02	28%	23 Jul →
cache	13–10	0.03	18%	23 Jul →
dust2	10–13	-0.00	24%	22 Jul →
nuke	4–13	-0.05	14%	21 Jul →
dust2	11–13	-0.04	13%	21 Jul →
anubis	13–3	0.09	38%	21 Jul →
nuke	5–13	0.04	8%	21 Jul →
ancient	4–13	-0.08	14%	19 Jul →
dust2	13–11	-0.05	17%	19 Jul →
inferno	14–16	-0.03	10%	19 Jul →
nuke	13–4	0.03	24%	19 Jul →
dust2	10–13	-0.02	33%	18 Jul →
nuke	13–5	0.02	24%	18 Jul →
dust2	13–9	0.02	23%	18 Jul →
dust2	13–16	0.01	23%	18 Jul →
ancient	11–13	0.01	20%	18 Jul →
mirage	7–13	-0.02	18%	18 Jul →
mirage	13–11	-0.05	17%	17 Jul →
inferno	11–13	-0.01	24%	17 Jul →
cache	8–13	-0.01	22%	17 Jul →
anubis	10–13	-0.05	31%	15 Jul →
nuke	10–13	-0.04	14%	15 Jul →
dust2	13–6	0.02	20%	15 Jul →
cache	13–8	0.03	20%	14 Jul →
dust2	13–4	0.04	33%	14 Jul →
cache	13–10	-0.02	18%	13 Jul →
dust2	13–8	0.06	23%	13 Jul →
dust2	13–7	0.01	43%	13 Jul →
anubis	13–10	0.08	19%	13 Jul →
anubis	13–9	-0.00	23%	12 Jul →
nuke	14–16	-0.01	20%	12 Jul →
nuke	13–9	-0.01	10%	12 Jul →
dust2	13–6	0.04	54%	12 Jul →
inferno	11–13	-0.03	23%	12 Jul →
nuke	13–4	-0.00	20%	12 Jul →
mirage	9–13	-0.04	14%	12 Jul →
cache	13–11	-0.01	21%	11 Jul →
dust2	16–14	-0.02	16%	11 Jul →
nuke	8–13	-0.04	31%	11 Jul →
cache	7–13	0.02	18%	11 Jul →
cache	13–6	0.11	19%	11 Jul →
dust2	13–9	0.05	31%	11 Jul →
cache	7–2	0.05	24%	11 Jul →