♡ KaaLhie 🌺 — CS2 Stats

76561198129149859[U:1:168884131]Steam profile ↗✓ No bans

1,688Tracked matches47%Win rate2023Tracked since

4,149Hours in CS

CSDB Rating4.3 DevelopingSupport

Premier CS Rating16,025Purple band · top ~24.3% of ranked players (population est.)

CSDB Leaderboard#119586 of 226266 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

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

−1025Premier CS Rating · 17,050 → 16,025

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. 9 days played since 30 Aug 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: 16,025 -2,084 30 Aug – 18 Sept · 10 days played

19,171Peak Premier in tracked matches

9Days played since 2026-08-30

Premier CS Rating

3,146 below peak (19,171)
Next: Pink band at 20,000 — 3,975 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-30
Blue band first seen 2026-08-30

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,197), 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	Level 2 median	Level 3 median	vs Level 3
Headshot rate	34.4%	41.3%	41.9%	7.5% short
Shot accuracy	13.8%	12.7%	12.2%	above
Kill/death ratio	0.78	0.96	0.98	0.20 short
Match win rate	49.9%	42.5%	43.3%	above

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim59

Positioning33

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateLWWLWLLWLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −5.6pp headshot accuracy · +30ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 15%
Avg reaction 580ms

Last 10

4–6 · 40% win rate
Avg rating -0.05
Avg headshot accuracy 15%
Avg reaction 620ms

Last 20

9–11 · 45% win rate
Avg rating -0.04
Avg headshot accuracy 18%
Avg reaction 605ms

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).

Aim5.9

Utility3.7

Positioning3.3

Opening Duels0.0

Clutch2.6

Limited 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 sh1ro 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 619ms 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

Aim5.9

Positioning3.3

Utility3.7

Mechanics6.3

Opening Duels0.0

Win Impact3.9

Composite 4.3/10 (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-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time617ms+14ms

first ⅓ avg 604ms → last ⅓ avg 617ms

Headshot accuracy18.5%+2.3%

first ⅓ avg 16.2% → last ⅓ avg 18.5%

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 · 13–2 · dust2, 13 Sept →

35%Best headshot accuracy · 2–13 · mirage, 11 Sept →

438msFastest reaction time · 13–11 · dust2, 12 Sept →

13–1Biggest win · dust2, 18 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

7–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 72% over 18anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	35	18–17	51%	-0.03
mirage	A	26	15–11	58%	-0.03
inferno	S	18	13–5	72%	-0.02
ancient	A	11	6–5	55%	-0.03
anubis	D	8	2–6	25%	-0.05
cache	—	2	1–1	50%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,195Lifetime kills

0.78K/D

10,506Matches

49.9%Match win rate · Top 10% of Level 2 players

34.4%Headshot %

13.8%Shot accuracy · Top 50% of Level 2 players

12,497MVPs

4,149Hours (in match)

15,930Bombs planted

1,158Bombs defused

Most-used weapons

AK-4746,970

M4A4 / M4A1-S30,592

Negev15,497

AWP6,107

P904,959

FAMAS4,787

UMP-454,594

P2000 / USP-S3,527

M2493,057

Galil AR2,534

Lifetime map wins

68,414dust2

4,587inferno

2,429nuke

924assault

464office

350italy

232vertigo

212cbble

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

Faceit stats

Combat

63Matches

43%Win rate

0.80Avg K/D

53.6ADR

36%Headshot %

Clutches & streaks

33%1v1 clutch win

14%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	23	48%	0.75	10.3
Inferno	9	56%	0.74	12.6
Ancient	6	50%	0.75	10.7
Mirage	4	25%	0.55	9.8
Cache	4	50%	0.67	11.3
Anubis	3	33%	0.54	8.3
Overpass	1	0%	0.42	8.0

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.

18.3%Headshot accuracy

31.3%Accuracy (enemy spotted)

37.4%Spray accuracy

78.3%Counter-strafing

10.5°Preaim

619msReaction time

28.9%T opening success

20.8%CT opening success

0.47Enemies flashed / flash

6.3%Flash assists

6.03HE damage / grenade

2.66Flashes / 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 0.4731 — 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 28.8998% — 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.

25% win rate across 8 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
inferno	5–13	-0.07	9%	18 Sept →
ancient	13–4	0.04	19%	18 Sept →
inferno	13–4	-0.05	12%	18 Sept →
anubis	6–13	-0.08	12%	18 Sept →
dust2	13–1	0.02	24%	18 Sept →
dust2	11–13	-0.11	28%	18 Sept →
dust2	11–13	-0.07	8%	18 Sept →
mirage	13–3	-0.07	15%	18 Sept →
ancient	5–13	-0.03	11%	18 Sept →
anubis	7–13	-0.06	15%	17 Sept →
dust2	6–13	-0.08	14%	17 Sept →
mirage	13–2	0.02	23%	17 Sept →
mirage	11–13	-0.07	26%	17 Sept →
ancient	13–9	-0.04	7%	17 Sept →
inferno	8–13	-0.00	11%	17 Sept →
mirage	13–11	-0.01	33%	17 Sept →
dust2	13–7	0.01	11%	17 Sept →
cache	16–13	-0.05	29%	17 Sept →
ancient	4–13	-0.05	28%	17 Sept →
cache	10–13	-0.05	29%	17 Sept →
mirage	10–13	-0.06	26%	17 Sept →
inferno	4–13	-0.08	16%	17 Sept →
mirage	13–9	-0.02	29%	17 Sept →
dust2	13–5	-0.03	23%	17 Sept →
dust2	10–13	-0.07	11%	16 Sept →
mirage	13–1	-0.04	6%	16 Sept →
inferno	13–7	-0.02	15%	16 Sept →
ancient	8–13	-0.05	20%	16 Sept →
mirage	13–16	-0.08	10%	16 Sept →
dust2	13–8	-0.02	21%	16 Sept →
inferno	13–11	-0.06	26%	16 Sept →
mirage	15–15	-0.07	19%	16 Sept →
ancient	13–6	-0.02	26%	16 Sept →
dust2	14–16	-0.07	15%	16 Sept →
mirage	13–2	0.03	16%	16 Sept →
dust2	13–6	-0.03	23%	16 Sept →
inferno	13–7	0.06	22%	15 Sept →
dust2	11–13	-0.04	11%	15 Sept →
dust2	13–8	-0.06	15%	15 Sept →
inferno	11–13	0.03	16%	15 Sept →
mirage	16–12	-0.02	25%	15 Sept →
anubis	6–13	-0.05	28%	15 Sept →
mirage	15–15	-0.02	24%	15 Sept →
dust2	7–13	-0.09	16%	15 Sept →
mirage	10–13	0.01	26%	14 Sept →
dust2	13–7	-0.03	10%	14 Sept →
anubis	5–13	-0.02	21%	14 Sept →
dust2	13–6	-0.03	24%	14 Sept →
mirage	15–15	0.02	29%	14 Sept →
inferno	13–6	-0.01	26%	14 Sept →
dust2	13–16	-0.01	19%	14 Sept →
mirage	13–3	0.04	12%	14 Sept →
dust2	11–13	-0.01	18%	14 Sept →
inferno	13–3	0.05	28%	13 Sept →
dust2	6–13	-0.06	15%	13 Sept →
dust2	6–13	-0.06	12%	13 Sept →
inferno	13–4	0.00	21%	13 Sept →
dust2	15–15	-0.06	12%	13 Sept →
mirage	13–11	-0.03	16%	13 Sept →
mirage	10–13	-0.07	12%	13 Sept →
ancient	9–13	-0.06	15%	13 Sept →
mirage	13–9	-0.06	16%	13 Sept →
anubis	13–5	-0.02	14%	13 Sept →
dust2	4–13	-0.08	11%	13 Sept →
dust2	13–2	0.09	15%	13 Sept →
anubis	13–16	-0.04	17%	12 Sept →
dust2	13–9	-0.02	21%	12 Sept →
dust2	13–8	0.01	11%	12 Sept →
mirage	13–11	-0.05	11%	12 Sept →
inferno	13–7	-0.02	22%	12 Sept →
inferno	2–13	-0.10	6%	12 Sept →
mirage	11–13	-0.03	16%	12 Sept →
dust2	13–11	-0.08	23%	12 Sept →
mirage	13–6	-0.05	4%	12 Sept →
dust2	13–8	-0.05	18%	12 Sept →
inferno	13–6	-0.04	10%	12 Sept →
anubis	13–9	-0.05	14%	12 Sept →
mirage	13–8	0.04	17%	12 Sept →
dust2	13–7	-0.02	13%	12 Sept →
ancient	13–9	-0.06	9%	12 Sept →
mirage	2–13	-0.06	35%	11 Sept →
ancient	1–9	-0.00	12%	11 Sept →
dust2	8–13	-0.07	3%	11 Sept →
dust2	13–9	0.04	20%	11 Sept →
dust2	13–11	0.01	16%	11 Sept →
inferno	13–4	-0.04	16%	11 Sept →
mirage	5–13	-0.02	15%	11 Sept →
dust2	8–13	0.06	18%	11 Sept →
inferno	13–6	0.02	18%	11 Sept →
ancient	13–11	-0.06	15%	11 Sept →
mirage	13–7	0.00	15%	11 Sept →
inferno	13–6	-0.03	22%	11 Sept →
mirage	13–9	-0.08	20%	10 Sept →
dust2	3–13	0.01	31%	10 Sept →
dust2	13–7	0.02	20%	10 Sept →
ancient	13–9	0.02	13%	10 Sept →
dust2	7–13	-0.05	16%	10 Sept →
inferno	13–4	-0.02	28%	10 Sept →
dust2	13–8	-0.01	14%	10 Sept →
anubis	14–16	-0.04	15%	10 Sept →