Kiwi Master piece — CS2 Stats

76561198311203913[U:1:350938185]

815Tracked matches63%Win rate2024Tracked since

2,125Hours in CS37Hrs last 2 wks

CSDB Rating5.5 SolidPassive Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning46

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50–40–10Last 10050%Win rateWLWLWLWWWL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.7

Aggression2.8

Utility4.7

Positioning4.6

Opening Duels0.0

Clutch5.0

Strong CT-side opener

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 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 39% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim6.7

Positioning4.6

Utility4.7

Mechanics5.3

Opening Duels1.1

Win Impact9.4

Composite 5.5/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time631ms−27ms

first ⅓ avg 658ms → last ⅓ avg 631ms

Headshot accuracy20.5%+2.5%

first ⅓ avg 18.0% → last ⅓ avg 20.5%

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.

Highlights

0.15Best rating — ancient 13–4

13–0Biggest win — anubis

4Longest win streak

8–0In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 64% over 11mirageWeakest map · 36% over 22

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	13–11	54%	-0.02
mirage	C	22	8–14	36%	-0.01
anubis	A	16	9–7	56%	-0.01
ancient	B	14	7–7	50%	-0.03
inferno	A	11	7–4	64%	-0.03
cache	C	5	2–3	40%	0.03
vertigo	—	4	1–3	25%	-0.02
nuke	—	3	2–1	67%	-0.03
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,264Lifetime kills

0.86K/D

4,875Matches

33.7%Match win rate

44.0%Headshot %

2.3%Shot accuracy

4,295MVPs

1,543Hours (in match)

2,202Bombs planted

424Bombs defused

Most-used weapons

AK-4735,454

M4A4 / M4A1-S13,555

Desert Eagle7,943

AWP3,322

P2000 / USP-S1,751

MP91,738

MAC-101,651

Glock-181,434

Galil AR1,282

MP71,239

Lifetime map wins

4,156dust2

3,380inferno

2,934vertigo

1,769nuke

898train

80ar_shoots

64ar_baggage

11office

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

Faceit stats

Combat

39Matches

56%Win rate

1.06Avg K/D

80.4ADR

44%Headshot %

Clutches & streaks

45%1v1 clutch win

9%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	64%	1.04	15.2
Inferno	7	57%	1.10	17.7
Anubis	6	50%	1.08	13.8
Dust2	6	50%	1.13	17.2
Ancient	3	67%	0.94	11.3
Nuke	2	100%	1.89	20.0
Vertigo	1	100%	0.82	18.0

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.

18.9%Headshot accuracy

35.1%Accuracy (enemy spotted)

41.7%Spray accuracy

73.9%Counter-strafing

10.0°Preaim

616msReaction time

18.0%T opening success

38.9%CT opening success

0.47Enemies flashed / flash

7.0%Flash assists

6.60HE damage / grenade

5.46Flashes / 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 0.4665 — 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 17.9924% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–4	-0.04	16%	28 Aug →
inferno	3–13	-0.04	19%	28 Aug →
anubis	3–1	-0.18	100%	28 Aug →
mirage	9–13	-0.04	9%	26 Aug →
nuke	13–9	0.05	29%	25 Aug →
cache	5–13	0.05	30%	25 Aug →
inferno	13–10	-0.05	15%	15 Aug →
ancient	13–11	-0.09	12%	15 Aug →
dust2	13–9	0.02	27%	15 Aug →
ancient	8–13	-0.04	22%	15 Aug →
anubis	13–5	0.04	21%	14 Aug →
dust2	13–3	-0.02	14%	14 Aug →
inferno	13–11	0.01	15%	14 Aug →
mirage	1–13	-0.00	38%	14 Aug →
mirage	5–13	-0.01	15%	13 Aug →
dust2	13–11	-0.07	21%	12 Aug →
ancient	13–2	0.02	21%	12 Aug →
anubis	5–13	-0.01	20%	12 Aug →
inferno	13–8	-0.04	24%	11 Aug →
inferno	13–8	-0.03	18%	11 Aug →
dust2	7–13	-0.04	7%	11 Aug →
nuke	13–6	-0.02	16%	11 Aug →
mirage	13–3	-0.03	20%	11 Aug →
cache	10–13	0.04	24%	10 Aug →
dust2	5–13	0.03	23%	10 Aug →
anubis	13–10	-0.03	10%	10 Aug →
ancient	13–10	0.00	16%	9 Aug →
inferno	2–13	-0.01	17%	9 Aug →
dust2	13–4	-0.06	13%	9 Aug →
mirage	13–7	-0.04	8%	9 Aug →
dust2	12–12	0.03	12%	2 Aug →
dust2	13–8	-0.02	14%	1 Aug →
dust2	13–8	0.05	12%	1 Aug →
dust2	5–13	-0.10	7%	31 Jul →
mirage	13–9	0.03	16%	31 Jul →
inferno	13–10	0.08	15%	31 Jul →
anubis	13–3	-0.02	19%	30 Jul →
ancient	10–13	-0.00	8%	30 Jul →
mirage	13–7	0.02	12%	30 Jul →
dust2	12–12	-0.06	12%	30 Jul →
mirage	12–12	-0.00	26%	30 Jul →
anubis	13–5	0.04	2%	30 Jul →
vertigo	13–11	-0.03	8%	29 Jul →
dust2	13–10	-0.01	23%	29 Jul →
ancient	9–13	-0.04	17%	29 Jul →
anubis	13–10	0.01	12%	29 Jul →
dust2	5–13	-0.05	7%	29 Jul →
inferno	13–8	-0.09	12%	28 Jul →
vertigo	12–12	0.01	10%	28 Jul →
anubis	12–12	-0.01	11%	28 Jul →
dust2	8–2	-0.04	19%	28 Jul →
mirage	8–13	-0.06	15%	28 Jul →
dust2	13–8	-0.01	23%	28 Jul →
dust2	8–13	-0.01	20%	27 Jul →
dust2	5–13	-0.03	14%	27 Jul →
mirage	6–13	0.01	15%	27 Jul →
mirage	4–13	0.00	9%	26 Jul →
ancient	7–13	-0.03	13%	26 Jul →
mirage	7–13	-0.06	23%	25 Jul →
inferno	6–13	-0.06	17%	25 Jul →
dust2	4–13	-0.04	12%	25 Jul →
anubis	13–5	-0.07	11%	25 Jul →
mirage	13–11	-0.01	28%	25 Jul →
dust2	13–4	0.03	13%	24 Jul →
mirage	10–13	-0.05	18%	24 Jul →
inferno	6–13	-0.09	16%	24 Jul →
dust2	12–12	0.07	13%	23 Jul →
ancient	13–11	-0.05	12%	23 Jul →
anubis	13–0	0.03	4%	23 Jul →
dust2	13–10	-0.01	11%	22 Jul →
ancient	13–9	-0.07	10%	22 Jul →
anubis	4–13	-0.02	14%	22 Jul →
mirage	10–13	0.03	4%	22 Jul →
dust2	12–12	-0.05	20%	22 Jul →
vertigo	2–13	-0.02	18%	22 Jul →
mirage	13–6	0.07	22%	18 Jul →
anubis	9–13	0.06	24%	17 Jul →
vertigo	6–13	-0.04	30%	17 Jul →
inferno	13–8	0.01	13%	16 Jul →
ancient	13–4	-0.00	6%	12 Jul →
cache	13–11	-0.02	13%	11 Jul →
mirage	13–8	0.09	15%	11 Jul →
anubis	10–13	0.01	21%	5 Jul →
cache	13–8	0.05	20%	5 Jul →
ancient	13–4	0.15	27%	5 Jul →
anubis	15–15	0.04	13%	5 Jul →
ancient	2–13	-0.08	33%	5 Jul →
mirage	1–13	-0.04	21%	5 Jul →
nuke	8–13	-0.11	11%	14 Jun →
anubis	0–13	-0.08	23%	31 May →
mirage	7–13	-0.09	12%	31 May →
cache	9–13	0.01	30%	3 May →
mirage	13–5	-0.02	28%	3 May →
ancient	12–12	-0.11	16%	2 May →
mirage	12–12	-0.07	16%	26 Apr →
ancient	7–13	-0.06	23%	26 Apr →
mirage	1–13	-0.04	9%	19 Apr →
dust2	13–2	-0.04	24%	19 Apr →
train	13–4	0.06	30%	19 Apr →
anubis	13–3	0.07	20%	19 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

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