KiwiMaster — CS2 Stats

FI76561198238992536[U:1:278726808]Steam profile ↗✓ No bans

1,394Tracked matches36%Win rate2020Tracked since

3,465Hours in CS7Hrs last 2 wks

CSDB Rating5.0 DevelopingPositional Player

Premier CS Rating14,267Blue band · top ~32.3% of ranked players (population est.)

CSDB Leaderboard#156529 of 260003 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,267 -733 15 Sept – 18 Oct · 19 days played

16,839Peak Premier in tracked matches

25Days played since 2026-09-15

Premier CS Rating

2,549 below peak (16,816)
-2,549 over 30 days · declining
Next: Purple band at 15,000 — 733 to go
Reached: Purple band · Blue band · Light Blue band

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 5 among CSDB-tracked players (n=14,283), 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 5 median	Level 6 median	vs Level 6
Headshot rate	35.0%	43.8%	44.8%	9.8% short
Shot accuracy	16.1%	12.0%	12.4%	above
Kill/death ratio	1.13	1.02	1.03	above
Match win rate	42.1%	44.7%	45.2%	3.1% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim66

Positioning65

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateLWWWLLLLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.2pp headshot accuracy · −22ms 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 0.09
Avg headshot accuracy 15%
Avg reaction 472ms

Last 10

4–6 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 15%
Avg reaction 499ms

Last 20

7–12–1 · 35% win rate
Avg rating 0.03
Avg headshot accuracy 14%
Avg reaction 509ms

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 (+1.7 against its own average).

Aim6.6

Utility4.8

Positioning6.5

Opening Duels3.8

Clutch4.2

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 jL 85% 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 →

CSDB Rating breakdown

Aim6.6

Positioning6.5

Utility4.8

Mechanics5.2

Opening Duels4.9

Win Impact0.2

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time525ms−1ms

first ⅓ avg 527ms → last ⅓ avg 525ms

Headshot accuracy13.0%−2.7%

first ⅓ avg 15.7% → last ⅓ avg 13.0%

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

0.26Best match rating · 9–2 · nuke, 22 Oct →

26%Best headshot accuracy · 6–13 · nuke, 21 Sept →

375msFastest reaction time · 9–13 · ancient, 23 Oct →

13–4Biggest win · nuke, 12 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

7–4In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 57% over 14anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	23	10–13	43%	0.04
inferno	C	14	6–8	43%	0.02
cache	A	14	8–6	57%	0.05
mirage	C	13	5–8	38%	-0.01
ancient	C	11	4–7	36%	0.00
dust2	A	9	5–4	56%	0.02
anubis	D	6	1–5	17%	0.02
overpass	C	5	2–3	40%	0.02
train	—	3	1–2	33%	-0.03
office	—	1	0–1	0%	-0.07
vertigo	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,180Lifetime kills

1.13K/D · Top 50% of Level 5 players

5,126Matches

42.1%Match win rate

35.0%Headshot %

16.1%Shot accuracy · Top 25% of Level 5 players

12,660MVPs

1,739Hours (in match)

4,923Bombs planted

1,100Bombs defused

Most-used weapons

AK-4720,796

AWP13,994

M4A4 / M4A1-S10,907

P2000 / USP-S5,206

Glock-184,309

Desert Eagle4,202

P903,961

AUG3,085

MP92,711

SG 5532,458

Lifetime map wins

6,717inferno

3,207dust2

2,956nuke

1,888train

1,670vertigo

1,531cbble

432office

217lake

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

Faceit stats

Combat

91Matches

49%Win rate

1.13Avg K/D

81.4ADR

35%Headshot %

Clutches & streaks

41%1v1 clutch win

7%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	16	56%	1.29	17.6
Mirage	13	46%	0.89	13.2
Inferno	10	70%	1.46	15.2
Ancient	9	44%	0.96	13.9
Cache	4	50%	1.28	18.3
Anubis	3	33%	0.66	9.3
Vertigo	2	0%	1.31	20.0
Train	1	0%	1.00	17.0

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.

12.8%Headshot accuracy

35.8%Accuracy (enemy spotted)

38.9%Spray accuracy

73.3%Counter-strafing

10.1°Preaim

528msReaction time

49.2%T opening success

49.7%CT opening success

0.52Enemies flashed / flash

6.3%Flash assists

5.86HE damage / grenade

8.54Flashes / 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 12.8048% — below the 15% mark we flag
Aim Training →

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.

17% win rate across 6 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
ancient	9–13	-0.03	17%	23 Oct →
overpass	9–6	0.14	20%	22 Oct →
nuke	9–2	0.26	8%	22 Oct →
inferno	9–5	0.15	16%	22 Oct →
nuke	10–13	-0.06	15%	20 Oct →
office	0–13	-0.07	15%	18 Oct →
overpass	10–13	-0.06	13%	18 Oct →
cache	4–13	-0.04	25%	18 Oct →
inferno	7–13	0.04	10%	18 Oct →
nuke	13–8	0.05	8%	17 Oct →
dust2	15–15	-0.00	14%	17 Oct →
nuke	7–13	0.05	16%	17 Oct →
cache	11–13	-0.01	5%	17 Oct →
nuke	9–13	0.07	19%	17 Oct →
ancient	13–8	0.02	14%	17 Oct →
mirage	8–13	0.07	14%	17 Oct →
cache	13–8	0.08	10%	17 Oct →
inferno	11–13	-0.06	15%	17 Oct →
mirage	12–8	0.07	11%	17 Oct →
dust2	6–13	0.02	19%	17 Oct →
anubis	3–13	-0.04	8%	17 Oct →
overpass	13–7	0.07	14%	17 Oct →
mirage	2–13	-0.01	17%	17 Oct →
nuke	9–13	0.04	9%	17 Oct →
ancient	15–15	0.00	17%	16 Oct →
dust2	10–13	0.01	8%	16 Oct →
ancient	13–5	0.04	9%	16 Oct →
cache	13–8	0.01	11%	16 Oct →
inferno	6–13	-0.00	9%	16 Oct →
anubis	5–13	-0.03	10%	16 Oct →
dust2	13–9	0.02	23%	16 Oct →
cache	13–9	0.03	3%	16 Oct →
dust2	13–6	0.01	9%	16 Oct →
train	13–10	-0.05	24%	16 Oct →
dust2	13–6	0.06	17%	15 Oct →
nuke	8–13	-0.00	18%	15 Oct →
inferno	7–13	-0.02	10%	15 Oct →
cache	13–5	0.12	15%	15 Oct →
nuke	13–7	0.03	14%	15 Oct →
nuke	13–4	0.01	12%	12 Oct →
inferno	13–9	-0.00	10%	12 Oct →
vertigo	9–13	0.00	5%	12 Oct →
mirage	6–13	-0.08	8%	9 Oct →
mirage	16–19	-0.03	9%	8 Oct →
dust2	13–7	0.06	12%	8 Oct →
ancient	13–10	0.04	7%	8 Oct →
inferno	13–4	0.10	10%	8 Oct →
inferno	5–9	-0.06	22%	8 Oct →
mirage	8–13	-0.04	18%	5 Oct →
mirage	13–5	-0.03	13%	5 Oct →
inferno	9–13	0.05	6%	5 Oct →
train	11–13	0.05	15%	3 Oct →
overpass	8–13	-0.02	22%	3 Oct →
ancient	3–13	0.04	25%	3 Oct →
mirage	13–7	0.02	19%	3 Oct →
nuke	9–13	0.03	20%	3 Oct →
dust2	13–6	0.06	21%	3 Oct →
ancient	13–7	-0.00	11%	3 Oct →
inferno	5–13	0.09	16%	3 Oct →
cache	8–13	-0.01	8%	3 Oct →
ancient	9–13	-0.04	9%	1 Oct →
cache	4–13	0.05	9%	1 Oct →
mirage	13–7	0.03	8%	1 Oct →
inferno	3–13	-0.08	8%	1 Oct →
nuke	6–13	0.03	12%	1 Oct →
anubis	9–13	0.05	20%	1 Oct →
nuke	6–13	0.05	18%	30 Sept →
cache	8–13	0.04	7%	30 Sept →
nuke	14–16	0.05	25%	29 Sept →
mirage	3–13	0.01	21%	29 Sept →
nuke	5–13	0.11	13%	29 Sept →
nuke	16–14	0.00	18%	29 Sept →
mirage	9–13	-0.05	9%	28 Sept →
mirage	16–14	0.00	12%	28 Sept →
dust2	8–13	-0.03	18%	28 Sept →
nuke	13–8	0.03	26%	26 Sept →
inferno	16–14	0.01	7%	26 Sept →
cache	13–4	0.15	13%	26 Sept →
cache	13–11	0.10	21%	25 Sept →
cache	13–6	0.06	7%	22 Sept →
ancient	6–13	0.00	17%	22 Sept →
nuke	13–6	0.04	25%	22 Sept →
nuke	6–13	-0.04	26%	21 Sept →
anubis	8–13	0.06	15%	21 Sept →
nuke	5–13	-0.03	16%	20 Sept →
anubis	10–13	-0.00	11%	19 Sept →
inferno	16–14	-0.04	20%	19 Sept →
nuke	15–15	-0.02	10%	19 Sept →
cache	10–13	0.02	12%	19 Sept →
cache	13–4	0.10	17%	18 Sept →
nuke	13–11	0.08	22%	18 Sept →
nuke	13–10	0.00	16%	18 Sept →
anubis	13–10	0.05	12%	18 Sept →
inferno	16–14	0.11	15%	16 Sept →
nuke	13–6	0.05	17%	16 Sept →
overpass	5–13	-0.05	18%	15 Sept →
mirage	5–13	-0.06	13%	15 Sept →
train	5–13	-0.07	14%	15 Sept →
ancient	1–13	-0.05	6%	15 Sept →
ancient	7–13	-0.01	20%	15 Sept →