Kitty Kitty UwU 🥺 (=^-ω-^=) — CS2 Stats

CD76561198315807257[U:1:355541529]Steam profile ↗✓ No bans

936Tracked matches68%Win rate2020Tracked since

2,396Hours in CS7Hrs last 2 wks

CSDB Rating6.9 SolidPositional Player

Premier CS Rating16,580Purple band · top ~22.1% of ranked players (population est.)

CSDB Leaderboard#115200 of 228553 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 936 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 24 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,580 +515 30 Aug – 17 Sept · 6 days played

16,701Peak Premier in tracked matches

34Days played since 2026-06-24

Premier CS Rating

At peak — 16,580
Next: Pink band at 20,000 — 3,420 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-03
Blue band first seen 2026-09-03

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 10 Sep 2026 and 19 Sep 2026.

Measured 10 Sep 2026 → 19 Sep 2026; previous 5 Sep 2026 → 10 Sep 2026.

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 Purple band among CSDB-tracked players (n=35,873), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	56.3%	44.3%	46.9%	above
Shot accuracy	16.1%	11.8%	13.0%	above
Kill/death ratio	1.13	1.03	1.08	above
Match win rate	47.1%	45.2%	46.7%	meets

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim89

Positioning58

Utility41

0–100 skill scores via Leetify.

Recent form

HOT55–39–6Last 10055%Win rateWLWWWWWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +7.8pp headshot accuracy · −72ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.01
Avg headshot accuracy 28%
Avg reaction 487ms

Last 10

8–2 · 80% win rate
Avg rating 0.01
Avg headshot accuracy 29%
Avg reaction 511ms

Last 20

14–6 · 70% win rate
Avg rating 0.00
Avg headshot accuracy 26%
Avg reaction 547ms

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 (+2.3 against its own average).

Aim8.9

Utility4.1

Positioning5.8

Opening Duels3.9

Clutch0.4

Sharp aimerLimited utility dependence

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 iM 89% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim8.9

Positioning5.8

Utility4.1

Mechanics7.3

Opening Duels3.1

Win Impact10.0

Composite 6.9/10 (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 rating0.01−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time575ms−107ms

first ⅓ avg 682ms → last ⅓ avg 575ms

Headshot accuracy24.9%+0.0%

first ⅓ avg 24.9% → last ⅓ avg 24.9%

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

0.16Best match rating · 12–12 · mirage, 16 Aug →

52%Best headshot accuracy · 7–13 · nuke, 22 Jul →

430msFastest reaction time · 12–12 · shelter, 28 Aug →

13–1Biggest win · mirage, 8 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

6–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

trainBest map · 75% over 8vertigoWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	24	14–10	58%	0.01
mirage	C	20	8–12	40%	0.02
ancient	A	11	7–4	64%	0.01
nuke	A	9	5–4	56%	0.00
vertigo	C	8	3–5	38%	0.00
train	S	8	6–2	75%	0.01
inferno	S	6	4–2	67%	0.01
shelter	—	3	2–1	67%	-0.02
fachwerk	—	3	1–2	33%	0.00
overpass	—	2	2–0	100%	0.06
anubis	—	2	0–2	0%	-0.01
eldorado	—	1	1–0	100%	0.08
boulder	—	1	0–1	0%	-0.09
warden	—	1	1–0	100%	0.02
office	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,084Lifetime kills

1.13K/D · Top 50% of Purple band

3,613Matches

47.1%Match win rate · Top 50% of Purple band

56.3%Headshot % · Top 10% of Purple band

16.1%Shot accuracy · Top 25% of Purple band

12,633MVPs

1,122Hours (in match)

2,340Bombs planted

796Bombs defused

Most-used weapons

AK-4723,920

M4A4 / M4A1-S10,511

Desert Eagle8,496

P2000 / USP-S4,986

AWP3,754

Glock-183,168

SSG 081,470

FAMAS1,459

Galil AR876

P250795

Lifetime map wins

5,886inferno

4,175dust2

2,222train

2,185vertigo

1,792cbble

910nuke

576lake

111office

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

Faceit stats

Combat

270Matches

50%Win rate

1.05Avg K/D

94.2ADR

55%Headshot %

Clutches & streaks

22%1v1 clutch win

17%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	60%	1.55	20.4
Dust2	2	0%	1.09	21.0
Anubis	2	0%	0.70	10.5
Inferno	1	100%	0.77	10.0
Nuke	1	0%	0.80	12.0
Cache	1	100%	1.75	21.0

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.

25.8%Headshot accuracy

36.4%Accuracy (enemy spotted)

40.9%Spray accuracy

82.9%Counter-strafing

8.2°Preaim

546msReaction time

43.5%T opening success

41.3%CT opening success

0.59Enemies flashed / flash

6.5%Flash assists

5.90HE damage / grenade

4.39Flashes / match

Recommended for you

Spend your practice time on Vertigo

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	0.06	38%	9 Sept →
ancient	4–13	0.03	23%	9 Sept →
cache	16–12	-0.01	27%	9 Sept →
cache	13–6	0.02	25%	8 Sept →
mirage	13–10	-0.01	29%	8 Sept →
mirage	13–1	0.03	40%	8 Sept →
ancient	13–7	-0.02	27%	4 Sept →
inferno	6–13	-0.05	28%	4 Sept →
inferno	13–11	0.04	35%	1 Sept →
overpass	13–6	0.02	24%	1 Sept →
nuke	10–13	-0.06	15%	1 Sept →
cache	13–8	0.04	32%	30 Aug →
ancient	13–5	0.08	22%	30 Aug →
cache	10–13	-0.11	31%	29 Aug →
mirage	8–13	0.01	30%	29 Aug →
ancient	13–9	-0.02	16%	29 Aug →
inferno	13–5	-0.04	15%	29 Aug →
mirage	9–2	0.01	9%	29 Aug →
nuke	13–6	0.01	24%	28 Aug →
mirage	14–16	0.00	25%	28 Aug →
inferno	13–2	0.07	27%	28 Aug →
shelter	12–12	-0.07	10%	28 Aug →
fachwerk	10–13	-0.03	13%	28 Aug →
cache	13–5	-0.00	33%	28 Aug →
shelter	13–10	0.07	31%	27 Aug →
cache	13–8	0.09	23%	27 Aug →
mirage	7–13	-0.03	27%	22 Aug →
mirage	10–13	0.08	33%	22 Aug →
mirage	12–12	0.16	36%	16 Aug →
mirage	2–1	-0.01	0%	16 Aug →
mirage	13–9	0.04	25%	14 Aug →
vertigo	7–13	0.03	25%	10 Aug →
nuke	12–12	-0.03	28%	10 Aug →
eldorado	9–3	0.08	34%	10 Aug →
vertigo	9–13	0.03	16%	2 Aug →
nuke	6–13	-0.05	21%	28 Jul →
cache	9–13	0.00	41%	28 Jul →
cache	13–5	-0.00	21%	25 Jul →
mirage	7–13	-0.02	19%	25 Jul →
cache	13–9	-0.01	20%	22 Jul →
vertigo	13–6	0.03	18%	22 Jul →
nuke	7–13	-0.01	52%	22 Jul →
ancient	12–12	-0.06	19%	22 Jul →
mirage	11–13	-0.01	22%	19 Jul →
cache	8–13	-0.02	32%	19 Jul →
ancient	13–4	0.07	16%	15 Jul →
mirage	13–8	0.01	25%	15 Jul →
train	8–13	0.06	27%	14 Jul →
cache	13–11	0.14	29%	14 Jul →
overpass	13–6	0.11	21%	14 Jul →
cache	5–13	-0.07	19%	14 Jul →
vertigo	9–13	0.02	18%	14 Jul →
train	7–13	-0.07	15%	13 Jul →
ancient	11–13	-0.04	22%	13 Jul →
cache	13–1	0.15	39%	13 Jul →
ancient	13–4	0.05	26%	13 Jul →
anubis	8–13	-0.02	16%	13 Jul →
ancient	13–2	0.02	24%	12 Jul →
vertigo	13–8	-0.02	16%	12 Jul →
mirage	12–12	-0.00	23%	12 Jul →
nuke	13–9	-0.05	12%	12 Jul →
boulder	1–13	-0.09	10%	11 Jul →
shelter	13–7	-0.05	29%	11 Jul →
fachwerk	4–13	0.01	19%	11 Jul →
vertigo	7–13	-0.04	18%	11 Jul →
cache	12–12	0.01	25%	11 Jul →
mirage	5–13	-0.01	13%	11 Jul →
fachwerk	13–2	0.04	24%	10 Jul →
mirage	11–13	0.03	20%	10 Jul →
cache	9–13	0.04	40%	9 Jul →
anubis	8–13	-0.01	22%	6 Jul →
warden	13–7	0.02	31%	5 Jul →
cache	13–6	0.04	26%	5 Jul →
mirage	13–9	0.06	23%	5 Jul →
cache	6–13	-0.01	20%	5 Jul →
cache	13–10	-0.00	21%	5 Jul →
cache	6–13	-0.01	29%	5 Jul →
cache	13–9	0.08	24%	5 Jul →
inferno	10–13	-0.04	15%	4 Jul →
ancient	13–4	0.05	25%	1 Jul →
train	13–7	-0.00	19%	1 Jul →
nuke	13–5	0.09	32%	30 Jun →
mirage	6–13	-0.03	21%	30 Jun →
cache	13–8	0.02	26%	30 Jun →
nuke	13–6	0.02	16%	28 Jun →
mirage	13–11	0.02	33%	28 Jun →
office	13–8	-0.05	19%	28 Jun →
train	13–11	-0.02	16%	28 Jun →
train	13–8	-0.02	20%	27 Jun →
cache	9–13	-0.06	36%	26 Jun →
ancient	10–13	-0.04	18%	26 Jun →
cache	13–10	0.04	30%	26 Jun →
vertigo	3–13	-0.09	15%	26 Jun →
cache	10–13	-0.02	43%	26 Jun →
nuke	13–6	0.11	33%	25 Jun →
train	13–4	0.09	21%	25 Jun →
mirage	10–13	0.02	28%	25 Jun →
train	13–2	0.02	18%	24 Jun →
train	8–1	0.04	42%	24 Jun →
vertigo	13–7	0.07	13%	24 Jun →