JIMMYZY — CS2 Stats

76561198876357467[U:1:916091739]Steam profile ↗✓ No bans

118Tracked matches53%Win rate2025Tracked since

CSDB Rating5.3 DevelopingSupport

Ladder ranks via Leetify

Performance scores

Aim55

Positioning48

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateLWLLWLWWLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +2.0pp headshot accuracy · −62ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 9%
Avg reaction 592ms

Last 10

4–6 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 12%
Avg reaction 596ms

Last 20

10–10 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 11%
Avg reaction 627ms

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 (+1.3 against its own average).

Aim5.5

Utility5.1

Positioning4.8

Opening Duels1.6

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 ZywOo 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 633ms 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

Aim5.5

Positioning4.8

Utility5.1

Mechanics7.7

Opening Duels1.4

Win Impact6.1

Composite 5.3/10 (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 rating-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time627ms−20ms

first ⅓ avg 647ms → last ⅓ avg 627ms

Headshot accuracy11.4%+0.3%

first ⅓ avg 11.0% → last ⅓ avg 11.4%

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

0.09Best match rating · 13–4 · dust2, 1 Jan →

29%Best headshot accuracy · 13–4 · dust2, 1 Jul →

453msFastest reaction time · 8–13 · dust2, 3 Oct →

13–0Biggest win · mirage, 8 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

6–9In matches decided by ≤2 rounds

1Overtime games

Map breakdown

dust2Best map · 56% over 43mirageWeakest map · 51% over 35

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	43	24–19	56%	-0.02
mirage	B	35	18–17	51%	-0.01
cache	A	11	6–5	55%	-0.01
ancient	—	4	1–3	25%	0.02
inferno	—	4	2–2	50%	-0.03
anubis	—	3	2–1	67%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (51% over 35). Start with the 5 essential Mirage 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.

11.3%Headshot accuracy

33.5%Accuracy (enemy spotted)

34.9%Spray accuracy

84.6%Counter-strafing

10.5°Preaim

633msReaction time

33.0%T opening success

38.0%CT opening success

0.49Enemies flashed / flash

5.2%Flash assists

7.34HE damage / grenade

22.82Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.2957% — below the 15% mark we flag
Aim Training →
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 0.4887 — 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 32.9552% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	-0.03	6%	3 Oct →
dust2	13–7	0.03	13%	3 Oct →
ancient	8–13	-0.02	17%	22 Sept →
anubis	8–13	-0.04	4%	22 Sept →
cache	13–11	-0.04	7%	21 Sept →
dust2	11–13	-0.03	12%	21 Sept →
dust2	13–8	0.03	19%	17 Aug →
dust2	13–4	-0.01	18%	12 Aug →
cache	8–13	0.01	9%	12 Aug →
dust2	10–13	-0.05	13%	5 Aug →
anubis	13–9	-0.08	5%	5 Aug →
mirage	13–6	-0.04	7%	5 Aug →
ancient	13–6	0.04	8%	29 Jul →
dust2	11–13	-0.00	12%	29 Jul →
mirage	11–13	-0.02	15%	29 Jul →
mirage	13–3	0.02	10%	24 Jul →
inferno	8–13	-0.02	6%	24 Jul →
dust2	13–11	-0.04	9%	24 Jul →
mirage	11–13	-0.07	12%	22 Jul →
cache	13–10	-0.04	13%	22 Jul →
mirage	13–3	0.01	8%	22 Jul →
dust2	13–9	-0.07	14%	15 Jul →
dust2	11–13	-0.04	27%	8 Jul →
mirage	13–0	0.02	0%	8 Jul →
mirage	13–10	-0.05	13%	8 Jul →
dust2	13–7	0.03	13%	4 Jul →
mirage	1–13	0.00	18%	4 Jul →
dust2	2–13	-0.06	15%	4 Jul →
mirage	13–8	-0.02	6%	2 Jul →
dust2	7–13	-0.02	8%	2 Jul →
mirage	13–6	-0.06	7%	1 Jul →
dust2	13–4	-0.03	29%	1 Jul →
dust2	12–6	-0.00	4%	27 Jun →
mirage	6–13	-0.03	20%	27 Jun →
cache	12–12	-0.01	17%	27 Jun →
dust2	13–6	-0.10	6%	24 Jun →
mirage	9–13	0.04	21%	23 Jun →
dust2	6–13	-0.05	8%	22 Jun →
mirage	9–13	-0.02	10%	22 Jun →
mirage	11–13	-0.01	9%	21 Jun →
mirage	13–3	0.06	6%	18 Jun →
dust2	10–13	-0.08	14%	17 Jun →
mirage	6–13	-0.06	7%	17 Jun →
dust2	12–12	-0.03	19%	17 Jun →
mirage	13–2	0.08	3%	14 Jun →
dust2	13–10	-0.03	12%	12 Jun →
inferno	0–13	-0.15	0%	10 Jun →
mirage	13–6	-0.01	17%	10 Jun →
dust2	13–9	-0.03	22%	10 Jun →
dust2	13–8	-0.11	4%	4 Jun →
dust2	13–9	-0.00	11%	31 May →
inferno	13–1	0.07	11%	31 May →
cache	6–13	-0.05	3%	27 May →
mirage	7–13	-0.02	3%	27 May →
dust2	13–5	0.01	13%	27 May →
dust2	13–10	-0.03	13%	27 May →
mirage	10–13	-0.07	7%	27 May →
dust2	10–13	-0.07	10%	25 May →
anubis	13–4	-0.01	15%	21 May →
dust2	12–12	-0.07	11%	21 May →
dust2	7–13	-0.04	16%	19 May →
dust2	9–13	0.01	8%	17 May →
cache	13–11	0.01	13%	16 May →
cache	9–13	-0.00	8%	9 May →
dust2	13–10	-0.06	5%	9 May →
dust2	9–1	-0.04	13%	7 May →
cache	9–13	-0.03	13%	7 May →
cache	13–3	0.03	4%	6 May →
cache	13–2	-0.01	11%	6 May →
mirage	13–8	-0.03	17%	4 May →
cache	13–11	0.08	14%	29 Apr →
mirage	13–8	0.01	6%	27 Apr →
mirage	11–13	-0.07	10%	27 Apr →
mirage	13–10	0.00	8%	22 Apr →
mirage	12–12	-0.02	16%	22 Apr →
dust2	13–11	0.02	12%	20 Apr →
mirage	13–7	-0.08	5%	20 Apr →
mirage	8–13	0.04	8%	16 Apr →
dust2	0–13	-0.02	13%	16 Apr →
dust2	13–4	-0.04	16%	16 Apr →
mirage	10–13	0.01	8%	16 Apr →
dust2	13–6	0.02	11%	15 Apr →
mirage	13–7	-0.02	7%	9 Apr →
dust2	13–7	0.04	15%	9 Apr →
dust2	7–13	-0.01	11%	9 Apr →
mirage	13–9	-0.00	4%	4 Apr →
dust2	13–5	0.07	13%	4 Apr →
dust2	7–13	-0.00	3%	4 Apr →
mirage	12–12	0.06	6%	4 Apr →
mirage	9–13	0.03	8%	18 Mar →
ancient	8–13	0.01	7%	18 Mar →
ancient	11–13	0.05	9%	18 Mar →
inferno	16–14	-0.01	16%	13 Mar →
dust2	11–13	-0.02	10%	6 Jan →
dust2	12–12	0.01	15%	1 Jan →
dust2	13–4	0.09	9%	1 Jan →
mirage	13–9	0.01	19%	28 Dec →
mirage	13–6	-0.00	24%	28 Dec →
mirage	4–13	-0.06	16%	22 Dec →
dust2	13–7	0.00	16%	22 Dec →