Kittychaser — CS2 Stats

76561198084459241[U:1:124193513]

965Tracked matches61%Win rate2024Tracked since

CSDB Rating3.8 Learning

WingmanSilver Elite Master

Ladder ranks via Leetify

Performance scores

Aim43

Positioning36

Utility10

0–100 skill scores via Leetify.

Recent form

STEADY53–38–9Last 10053%Win rateLWWWWLWLWT

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim4.3

Aggression4.3

Utility1.0

Positioning3.6

Opening Duels0.9

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 NiKo 71% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

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.

Reaction time. 603ms 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

Aim4.3

Positioning3.6

Utility1.0

Mechanics4.6

Opening Duels0.9

Win Impact8.6

Composite 3.8/10 (Learning), 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-0.03−0.03

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time606ms−47ms

first ⅓ avg 653ms → last ⅓ avg 606ms

Headshot accuracy19.2%+5.1%

first ⅓ avg 14.2% → last ⅓ avg 19.2%

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 — poseidon 9–2

13–1Biggest win — train

9Longest win streak

5–5In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 71% over 7cacheWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	18	7–11	39%	-0.03
vertigo	B	12	6–6	50%	-0.04
inferno	A	10	6–4	60%	-0.02
train	B	10	5–5	50%	-0.03
overpass	S	10	7–3	70%	-0.01
anubis	C	9	4–5	44%	-0.04
mirage	A	9	5–4	56%	-0.03
ancient	A	7	4–3	57%	-0.04
nuke	S	7	5–2	71%	-0.00
dust2	C	5	2–3	40%	-0.07
warden	—	2	1–1	50%	0.01
poseidon	—	1	1–0	100%	0.19

Across the last 100 tracked matches.

Skill profile

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

19.3%Headshot accuracy

27.0%Accuracy (enemy spotted)

29.0%Spray accuracy

70.7%Counter-strafing

10.4°Preaim

603msReaction time

33.1%T opening success

34.3%CT opening success

0.09Enemies flashed / flash

0.0%Flash assists

9.27HE damage / grenade

0.55Flashes / 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 0.0929 — 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 33.1009% — below the 40% mark we flag

Spend your practice time on Cache

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	3–13	-0.07	18%	23 Aug →
cache	13–6	0.03	13%	23 Aug →
anubis	13–4	0.01	29%	23 Aug →
inferno	13–11	-0.04	11%	21 Aug →
train	13–8	-0.02	18%	21 Aug →
cache	8–13	-0.06	22%	21 Aug →
ancient	13–10	0.00	18%	21 Aug →
mirage	7–13	-0.03	15%	15 Aug →
train	13–7	-0.06	10%	15 Aug →
cache	12–12	-0.04	31%	15 Aug →
dust2	8–13	-0.08	24%	15 Aug →
mirage	13–4	-0.03	21%	15 Aug →
cache	9–13	-0.15	20%	15 Aug →
mirage	13–7	-0.09	11%	15 Aug →
cache	13–9	0.01	9%	15 Aug →
train	4–13	-0.03	17%	14 Aug →
vertigo	5–0	-0.01	40%	14 Aug →
ancient	5–13	-0.02	24%	14 Aug →
overpass	13–8	-0.02	18%	13 Aug →
train	13–1	0.06	19%	13 Aug →
cache	6–13	-0.06	21%	13 Aug →
overpass	13–8	-0.03	23%	29 Jul →
vertigo	13–4	-0.04	21%	28 Jul →
vertigo	5–13	-0.10	30%	21 Jul →
cache	12–12	-0.04	29%	21 Jul →
vertigo	13–6	-0.02	15%	4 Jul →
cache	13–5	-0.02	32%	29 Jun →
overpass	13–11	0.02	14%	29 Jun →
vertigo	8–13	-0.02	16%	21 Jun →
cache	5–13	-0.02	8%	21 Jun →
cache	10–13	-0.04	14%	18 Jun →
train	6–13	-0.08	6%	18 Jun →
train	9–13	-0.03	19%	17 Jun →
cache	13–4	0.01	18%	17 Jun →
overpass	12–12	-0.06	13%	15 Jun →
anubis	7–13	-0.07	11%	15 Jun →
anubis	2–13	-0.09	10%	27 May →
mirage	5–13	-0.06	6%	27 May →
inferno	13–10	-0.00	16%	25 May →
overpass	12–12	-0.05	18%	23 May →
train	12–12	-0.01	14%	23 May →
cache	7–13	-0.04	23%	23 May →
vertigo	10–13	-0.06	16%	12 May →
cache	13–7	-0.03	21%	12 May →
dust2	6–13	-0.09	37%	12 May →
cache	4–13	-0.07	25%	9 May →
cache	13–4	0.01	15%	9 May →
ancient	12–12	-0.08	3%	8 May →
cache	13–8	0.01	6%	8 May →
anubis	10–13	-0.05	23%	7 May →
mirage	13–10	-0.01	10%	4 May →
cache	11–13	-0.06	21%	1 May →
cache	12–12	-0.05	12%	30 Apr →
vertigo	10–13	-0.00	19%	24 Apr →
train	13–11	-0.09	12%	24 Apr →
train	13–9	-0.01	23%	23 Apr →
anubis	13–9	-0.05	8%	23 Apr →
dust2	4–13	-0.06	17%	22 Apr →
nuke	13–4	0.06	22%	22 Apr →
mirage	11–13	-0.01	25%	21 Apr →
warden	13–8	0.03	3%	21 Apr →
nuke	13–9	-0.02	16%	21 Apr →
train	11–13	-0.05	14%	17 Apr →
nuke	9–13	-0.01	11%	17 Apr →
inferno	2–9	-0.19	6%	17 Apr →
nuke	7–9	-0.22	12%	16 Apr →
mirage	13–10	-0.03	14%	16 Apr →
inferno	13–7	-0.05	3%	16 Apr →
poseidon	9–2	0.19	21%	16 Apr →
nuke	9–6	-0.05	20%	16 Apr →
inferno	9–1	0.19	20%	16 Apr →
nuke	9–2	0.19	16%	16 Apr →
overpass	9–3	0.05	9%	16 Apr →
inferno	9–3	0.03	23%	16 Apr →
warden	9–13	-0.01	19%	15 Apr →
vertigo	13–6	-0.01	22%	15 Apr →
inferno	6–9	-0.06	19%	15 Apr →
overpass	9–2	0.16	16%	15 Apr →
ancient	13–11	-0.09	14%	14 Apr →
anubis	13–4	0.00	10%	14 Apr →
overpass	13–7	-0.08	19%	13 Apr →
nuke	13–9	0.02	13%	13 Apr →
dust2	13–7	-0.07	10%	13 Apr →
mirage	13–6	0.00	17%	13 Apr →
anubis	13–4	-0.01	12%	13 Apr →
overpass	13–10	-0.02	9%	12 Apr →
inferno	5–13	-0.00	24%	12 Apr →
anubis	10–13	-0.05	14%	12 Apr →
inferno	13–6	0.03	15%	11 Apr →
vertigo	13–3	-0.03	12%	11 Apr →
ancient	13–10	-0.03	10%	11 Apr →
vertigo	5–9	-0.11	20%	11 Apr →
vertigo	7–13	-0.03	13%	11 Apr →
vertigo	2–0	-0.07	0%	11 Apr →
overpass	7–13	-0.08	11%	10 Apr →
anubis	11–13	-0.03	11%	10 Apr →
mirage	12–12	-0.06	14%	9 Apr →
ancient	13–8	-0.02	10%	9 Apr →
inferno	12–12	-0.09	15%	9 Apr →
dust2	13–2	-0.03	11%	9 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

Explore CSDB.gg

Sensitivity ConverterConvert sensitivity between CS2 and other games eDPI CalculatorCalculate your effective DPI cm/360 CalculatorMouse distance per full turn Resolution CalculatorCompare aspect ratios and resolutions Crosshair GeneratorBuild and preview custom crosshairs

Tools

Sticker Craft MakerPlan and price a CS2 sticker craft with live prices on every piece CS2 Stats TrackerLook up any player: Premier rating, Faceit level, matches and skill breakdown Trust Factor CheckerEstimate your CS2 Trust Factor from the signals Valve has acknowledged

Learn & Explore

Most Traded CS2 SkinsRanked by completed sales — transaction data, not listings Cheapest Knives in CS2Every knife type ranked by its cheapest live price Cheapest Gloves in CS2Every glove model ranked by its cheapest live price