Jyzz — CS2 Stats

CN76561199143324795[U:1:1183059067]Steam profile ↗✓ No bans

319Tracked matches61%Win rate2025Tracked since

CSDB Rating4.7 Developing

Ladder ranks via Leetify

Performance scores

Aim37

Positioning55

Utility39

0–100 skill scores via Leetify.

Recent form

HOT57–37–6Last 10057%Win rateWLLLWWWWWW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim3.7

Aggression6.8

Utility3.9

Positioning5.5

Opening Duels2.0

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 Twistzz 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

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

Reaction time. 672ms 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

Aim3.7

Positioning5.5

Utility3.9

Mechanics5.7

Opening Duels2.0

Win Impact8.6

Composite 4.7/10 (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 rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time666ms+36ms

first ⅓ avg 630ms → last ⅓ avg 666ms

Headshot accuracy16.4%+3.5%

first ⅓ avg 13.0% → 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

0.10Best rating — boulder 13–4

13–1Biggest win — inferno

7Longest win streak

4–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

vertigoBest map · 100% over 5anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	31	17–14	55%	0.00
cache	A	15	9–6	60%	-0.00
ancient	C	10	4–6	40%	0.02
nuke	A	8	5–3	63%	-0.02
anubis	D	7	2–5	29%	0.01
inferno	B	6	3–3	50%	-0.02
vertigo	S	5	5–0	100%	-0.04
dust2	S	5	4–1	80%	0.03
overpass	A	5	3–2	60%	-0.01
train	—	4	3–1	75%	0.02
office	—	2	0–2	0%	-0.03
boulder	—	1	1–0	100%	0.10
shelter	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.1%Headshot accuracy

29.1%Accuracy (enemy spotted)

30.8%Spray accuracy

75.5%Counter-strafing

11.5°Preaim

672msReaction time

38.6%T opening success

37.3%CT opening success

0.46Enemies flashed / flash

5.9%Flash assists

7.07HE damage / grenade

7.80Flashes / 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 0.4637 — 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 38.6187% — 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.

29% win rate across 7 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
cache	13–3	0.07	18%	28 Aug →
ancient	10–13	0.05	18%	28 Aug →
mirage	9–13	0.01	21%	21 Aug →
anubis	6–13	-0.03	9%	21 Aug →
mirage	13–9	-0.02	15%	21 Aug →
nuke	13–8	-0.05	15%	15 Aug →
vertigo	13–3	0.01	22%	15 Aug →
train	13–10	-0.06	12%	15 Aug →
dust2	13–4	0.03	22%	8 Aug →
mirage	13–2	-0.03	22%	8 Aug →
train	13–7	0.05	14%	8 Aug →
mirage	10–13	-0.03	17%	2 Aug →
cache	13–11	-0.00	15%	31 Jul →
mirage	8–13	0.00	17%	25 Jul →
boulder	13–4	0.10	18%	25 Jul →
dust2	7–1	0.04	31%	25 Jul →
anubis	9–13	0.01	14%	23 Jul →
anubis	12–12	0.04	12%	23 Jul →
dust2	13–7	0.02	22%	16 Jul →
inferno	4–13	-0.08	0%	16 Jul →
mirage	13–9	-0.00	14%	16 Jul →
anubis	13–6	0.07	18%	16 Jul →
shelter	13–8	0.03	18%	16 Jul →
mirage	12–12	-0.01	24%	14 Jul →
anubis	9–13	0.06	10%	14 Jul →
mirage	13–8	0.04	15%	14 Jul →
mirage	7–13	0.05	17%	14 Jul →
cache	4–13	-0.01	25%	13 Jul →
anubis	7–13	-0.09	7%	13 Jul →
nuke	13–7	0.04	15%	12 Jul →
cache	13–7	0.01	15%	12 Jul →
mirage	13–7	0.05	21%	12 Jul →
ancient	7–13	-0.00	13%	11 Jul →
cache	9–13	-0.02	17%	11 Jul →
cache	12–12	-0.01	19%	9 Jul →
office	6–13	-0.02	14%	9 Jul →
office	8–13	-0.03	22%	9 Jul →
cache	5–13	-0.06	11%	8 Jul →
mirage	9–13	0.06	19%	8 Jul →
inferno	13–4	0.02	12%	6 Jul →
dust2	9–13	0.03	14%	6 Jul →
ancient	13–3	0.07	18%	6 Jul →
mirage	7–13	-0.06	8%	6 Jul →
mirage	13–5	0.01	18%	6 Jul →
mirage	9–13	-0.01	18%	5 Jul →
dust2	13–8	0.01	19%	1 Jul →
cache	13–7	0.02	16%	1 Jul →
overpass	13–7	-0.00	11%	27 Jun →
ancient	15–15	-0.01	16%	27 Jun →
nuke	10–13	-0.02	17%	27 Jun →
nuke	13–4	-0.01	9%	27 Jun →
ancient	13–8	-0.08	9%	27 Jun →
mirage	10–13	-0.09	19%	27 Jun →
cache	13–6	0.07	21%	27 Jun →
overpass	4–13	-0.05	26%	25 Jun →
mirage	13–8	0.02	15%	25 Jun →
mirage	13–10	0.02	17%	25 Jun →
cache	13–5	0.00	29%	25 Jun →
ancient	12–12	0.02	13%	24 Jun →
mirage	13–8	0.06	17%	19 Jun →
mirage	6–13	-0.01	9%	19 Jun →
train	13–2	0.08	8%	19 Jun →
mirage	13–4	0.08	22%	17 Jun →
cache	13–10	0.03	9%	17 Jun →
nuke	5–13	-0.07	15%	13 Jun →
nuke	11–13	0.01	9%	13 Jun →
cache	6–13	-0.07	21%	13 Jun →
cache	9–13	-0.06	14%	12 Jun →
mirage	7–13	-0.06	11%	12 Jun →
inferno	13–5	-0.05	0%	12 Jun →
mirage	13–9	0.00	5%	11 Jun →
mirage	11–13	-0.03	14%	11 Jun →
cache	13–5	0.05	16%	10 Jun →
train	1–13	0.00	17%	9 Jun →
ancient	8–13	0.06	7%	9 Jun →
ancient	11–13	-0.02	16%	4 Jun →
overpass	13–6	0.01	18%	4 Jun →
vertigo	13–6	-0.02	25%	4 Jun →
mirage	13–11	0.02	9%	4 Jun →
mirage	2–13	-0.06	12%	4 Jun →
mirage	13–8	0.00	17%	3 Jun →
vertigo	4–4	-0.12	0%	3 Jun →
overpass	13–8	0.02	15%	27 May →
anubis	13–7	0.01	18%	27 May →
ancient	13–6	-0.01	11%	23 May →
mirage	13–6	0.00	14%	23 May →
vertigo	13–2	0.00	0%	23 May →
overpass	6–13	-0.03	14%	23 May →
nuke	13–7	0.04	15%	23 May →
nuke	13–10	-0.07	11%	22 May →
cache	13–7	-0.09	23%	22 May →
ancient	13–5	0.09	21%	22 May →
inferno	10–13	-0.05	15%	22 May →
mirage	13–4	0.01	20%	21 May →
mirage	13–8	-0.02	0%	21 May →
inferno	11–13	-0.00	13%	21 May →
mirage	13–9	0.02	15%	20 May →
inferno	13–1	0.08	18%	20 May →
mirage	12–12	-0.02	9%	19 May →
vertigo	13–11	-0.09	17%	17 May →