Jyy — CS2 Stats

76561197966598488[U:1:6332760]

479Tracked matches57%Win rate2023Tracked since

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning58

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWWLWLLLWWL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

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

Aim8.4

Aggression7.6

Utility4.8

Positioning5.8

Opening Duels2.7

Clutch4.8

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 93% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

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

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

Aim8.4

Positioning5.8

Utility4.8

Mechanics8.2

Opening Duels2.7

Win Impact7.2

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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time545ms−17ms

first ⅓ avg 562ms → last ⅓ avg 545ms

Headshot accuracy16.4%−2.4%

first ⅓ avg 18.8% → last ⅓ avg 16.4%

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.

Highlights

0.19Best rating — nuke 9–2

13–1Biggest win — inferno

6Longest win streak

W2Current streak

8–13In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 58% over 12infernoWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	15–14	52%	0.03
nuke	B	21	11–10	52%	0.03
inferno	C	14	6–8	43%	0.01
anubis	A	12	7–5	58%	0.01
dust2	A	9	5–4	56%	0.02
ancient	A	7	4–3	57%	0.01
cache	—	3	1–2	33%	0.01
overpass	—	3	2–1	67%	0.07
debris	—	1	0–1	0%	0.07
train	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

289Matches

52%Win rate

1.22Avg K/D

92.3ADR

47%Headshot %

Clutches & streaks

44%1v1 clutch win

27%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	88	52%	1.19	18.1
Anubis	47	51%	1.22	18.6
Ancient	40	58%	1.13	18.1
Inferno	35	43%	1.46	18.2
Nuke	34	62%	1.24	17.0
Dust2	25	40%	1.11	16.9
Cache	10	50%	1.26	18.8
Overpass	9	67%	1.22	16.0

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.

16.2%Headshot accuracy

38.9%Accuracy (enemy spotted)

39.8%Spray accuracy

87.0%Counter-strafing

8.8°Preaim

544msReaction time

37.2%T opening success

44.8%CT opening success

0.44Enemies flashed / flash

5.9%Flash assists

12.60HE damage / grenade

5.21Flashes / 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 0.4409 — 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 37.1752% — below the 40% mark we flag

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.

43% win rate across 14 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
mirage	13–4	0.03	15%	27 Aug →
nuke	9–2	0.19	5%	27 Aug →
inferno	10–13	-0.01	10%	26 Aug →
mirage	13–6	0.02	20%	26 Aug →
nuke	8–13	0.02	16%	22 Aug →
inferno	9–13	0.01	17%	19 Aug →
anubis	2–13	-0.07	6%	19 Aug →
mirage	13–8	0.11	16%	19 Aug →
ancient	13–5	-0.03	9%	18 Aug →
anubis	14–16	-0.01	13%	16 Aug →
inferno	11–13	-0.02	15%	12 Aug →
inferno	11–13	-0.07	15%	11 Aug →
anubis	13–10	0.06	11%	10 Aug →
inferno	13–3	0.07	34%	10 Aug →
anubis	13–10	-0.03	11%	9 Aug →
anubis	5–13	0.08	16%	9 Aug →
dust2	13–10	-0.02	15%	4 Aug →
mirage	13–11	-0.02	15%	3 Aug →
nuke	13–9	0.02	14%	3 Aug →
mirage	13–4	0.09	21%	2 Aug →
mirage	7–13	-0.00	16%	30 Jul →
nuke	17–19	-0.04	18%	29 Jul →
mirage	13–10	-0.00	22%	29 Jul →
mirage	10–13	-0.01	21%	28 Jul →
cache	6–13	-0.08	19%	28 Jul →
nuke	13–9	-0.07	18%	28 Jul →
anubis	13–9	0.01	21%	27 Jul →
nuke	13–6	0.00	21%	27 Jul →
nuke	11–13	0.05	14%	26 Jul →
mirage	13–11	-0.03	21%	24 Jul →
anubis	13–10	0.03	10%	22 Jul →
nuke	13–2	0.01	36%	22 Jul →
nuke	13–4	0.00	13%	22 Jul →
inferno	13–3	0.11	8%	20 Jul →
cache	8–13	0.06	17%	19 Jul →
inferno	13–8	0.08	13%	19 Jul →
mirage	10–13	0.05	17%	17 Jul →
ancient	13–4	0.08	19%	17 Jul →
mirage	13–2	0.15	16%	17 Jul →
anubis	13–7	0.05	14%	16 Jul →
mirage	16–14	0.02	16%	16 Jul →
inferno	13–8	0.00	19%	16 Jul →
inferno	13–1	0.08	18%	15 Jul →
mirage	8–13	0.00	18%	15 Jul →
nuke	8–13	-0.01	35%	14 Jul →
ancient	6–13	-0.03	20%	14 Jul →
inferno	8–13	-0.04	19%	14 Jul →
mirage	10–13	-0.00	14%	13 Jul →
anubis	13–11	0.02	18%	12 Jul →
dust2	15–15	0.05	19%	12 Jul →
overpass	9–3	0.11	16%	11 Jul →
inferno	7–9	-0.18	10%	11 Jul →
inferno	9–7	0.07	13%	11 Jul →
debris	7–9	0.07	13%	11 Jul →
ancient	13–8	-0.00	17%	11 Jul →
mirage	13–8	0.11	21%	11 Jul →
dust2	11–13	0.00	24%	5 Jul →
anubis	7–13	-0.03	23%	4 Jul →
overpass	5–13	0.04	11%	3 Jul →
mirage	6–13	0.00	25%	3 Jul →
dust2	12–12	0.11	19%	3 Jul →
ancient	13–11	0.04	10%	2 Jul →
anubis	13–5	0.03	6%	2 Jul →
mirage	13–8	0.03	20%	2 Jul →
mirage	7–13	-0.04	14%	2 Jul →
ancient	14–16	0.01	17%	29 Jun →
nuke	10–13	0.00	26%	24 Jun →
mirage	13–8	-0.04	16%	24 Jun →
nuke	13–5	0.12	26%	22 Jun →
nuke	13–8	0.04	18%	21 Jun →
dust2	11–13	-0.05	20%	21 Jun →
mirage	4–13	0.04	18%	20 Jun →
mirage	9–2	0.04	33%	20 Jun →
dust2	13–11	-0.05	21%	18 Jun →
nuke	9–2	0.14	21%	29 May →
mirage	10–13	0.05	16%	24 May →
nuke	13–4	0.01	29%	24 May →
dust2	13–6	0.12	19%	24 May →
mirage	13–11	0.11	8%	20 May →
inferno	10–13	0.04	13%	20 May →
inferno	9–13	0.03	14%	15 May →
mirage	10–13	-0.03	11%	14 May →
mirage	11–13	0.00	13%	14 May →
anubis	13–16	-0.03	14%	13 May →
mirage	13–9	0.02	13%	7 May →
ancient	10–13	0.03	20%	5 May →
overpass	13–8	0.06	18%	5 May →
nuke	3–9	-0.07	6%	30 Apr →
mirage	11–13	0.01	24%	30 Apr →
cache	13–8	0.05	28%	30 Apr →
mirage	10–13	0.07	15%	26 Apr →
nuke	4–9	-0.02	14%	24 Apr →
train	5–13	-0.05	26%	24 Apr →
dust2	13–10	-0.05	27%	23 Apr →
nuke	13–9	0.01	14%	22 Apr →
nuke	11–13	0.13	19%	21 Apr →
dust2	13–8	0.05	23%	21 Apr →
nuke	7–13	0.09	20%	21 Apr →
nuke	8–13	-0.02	17%	20 Apr →
mirage	12–12	0.01	28%	20 Apr →