SnowZikoo — CS2 Stats

76561198120067833[U:1:159802105]

2,418Tracked matches60%Win rate2020Tracked since

CSDB Rating5.9 SolidHybrid Rifler

FaceitLevel 9 · 1,921 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning57

Utility58

0–100 skill scores via Leetify.

Recent form

HOT57–43Last 10057%Win rateLWWWLWLWWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.1

Aggression6.0

Utility5.8

Positioning5.7

Opening Duels2.3

Clutch4.2

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 Twistzz 92% 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim7.1

Positioning5.7

Utility5.8

Mechanics6.4

Opening Duels2.3

Win Impact8.3

Composite 5.9/10 (Solid), 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 rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time575ms−31ms

first ⅓ avg 606ms → last ⅓ avg 575ms

Headshot accuracy20.5%+0.6%

first ⅓ avg 19.9% → 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

0.09Best rating — anubis 13–7

13–0Biggest win — mirage

9Longest win streak

5–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 63% over 32anubisWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	32	20–12	63%	-0.01
inferno	B	21	11–10	52%	-0.01
anubis	B	13	6–7	46%	0.00
dust2	A	11	6–5	55%	-0.02
ancient	A	9	5–4	56%	-0.03
cache	A	8	5–3	63%	-0.01
nuke	—	3	2–1	67%	0.04
overpass	—	3	2–1	67%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,632Matches

51%Win rate

1.02Avg K/D

76.4ADR

50%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	160	55%	1.07	15.9
Dust2	111	46%	1.15	15.4
Ancient	93	53%	0.97	14.3
Anubis	88	47%	0.98	15.2
Inferno	73	53%	1.03	13.8
Nuke	39	46%	1.04	14.9
Vertigo	17	53%	0.89	12.8
Cache	13	69%	1.09	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.

20.5%Headshot accuracy

33.9%Accuracy (enemy spotted)

33.0%Spray accuracy

78.7%Counter-strafing

9.0°Preaim

582msReaction time

30.7%T opening success

47.7%CT opening success

0.67Enemies flashed / flash

3.7%Flash assists

7.92HE damage / grenade

8.27Flashes / 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.

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 30.735% — 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.

46% win rate across 13 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
mirage	5–13	-0.04	25%	4 Aug →
mirage	13–10	-0.01	25%	4 Aug →
ancient	13–10	-0.03	19%	4 Aug →
mirage	13–0	0.01	4%	4 Aug →
inferno	10–13	-0.01	23%	4 Aug →
mirage	13–3	-0.00	21%	4 Aug →
anubis	9–13	-0.05	22%	4 Aug →
inferno	13–7	0.03	18%	4 Aug →
cache	16–14	0.01	26%	4 Aug →
mirage	16–12	-0.04	15%	3 Aug →
nuke	10–13	0.06	19%	3 Aug →
inferno	16–14	-0.05	21%	24 Jul →
mirage	7–13	-0.04	19%	24 Jul →
inferno	11–13	-0.01	29%	24 Jul →
ancient	13–10	-0.03	19%	24 Jul →
cache	11–13	-0.00	29%	24 Jul →
anubis	13–7	0.09	35%	22 Jul →
mirage	2–7	0.02	50%	22 Jul →
mirage	13–9	-0.02	19%	21 Jul →
dust2	13–8	-0.03	14%	21 Jul →
mirage	9–0	0.00	0%	21 Jul →
mirage	13–5	-0.04	26%	21 Jul →
mirage	13–6	0.02	20%	18 Jul →
mirage	13–11	0.02	27%	8 Jul →
anubis	10–13	0.04	8%	7 Jul →
mirage	0–13	-0.00	27%	6 Jul →
cache	8–13	0.00	12%	6 Jul →
mirage	13–7	0.03	19%	6 Jul →
mirage	13–9	-0.02	10%	6 Jul →
inferno	0–13	-0.13	17%	6 Jul →
inferno	5–13	-0.05	25%	5 Jul →
dust2	16–13	0.01	16%	5 Jul →
dust2	13–2	0.03	18%	4 Jul →
inferno	13–11	-0.04	15%	4 Jul →
dust2	8–13	0.01	20%	4 Jul →
anubis	8–13	-0.02	21%	2 Jul →
inferno	13–3	0.03	42%	2 Jul →
mirage	13–10	-0.01	20%	1 Jul →
mirage	13–9	-0.03	28%	1 Jul →
overpass	8–13	-0.02	17%	1 Jul →
cache	13–9	0.04	25%	1 Jul →
anubis	10–13	-0.02	13%	1 Jul →
inferno	13–5	0.09	17%	1 Jul →
overpass	13–8	0.01	23%	30 Jun →
nuke	13–8	0.08	17%	30 Jun →
mirage	16–19	-0.07	16%	28 Jun →
anubis	13–9	-0.09	19%	28 Jun →
anubis	13–10	0.01	20%	28 Jun →
mirage	5–13	-0.03	12%	28 Jun →
ancient	11–13	-0.02	19%	28 Jun →
ancient	11–13	-0.06	10%	28 Jun →
nuke	13–8	-0.02	26%	28 Jun →
anubis	11–13	-0.05	17%	27 Jun →
anubis	13–7	0.02	20%	27 Jun →
mirage	16–12	-0.03	9%	27 Jun →
inferno	19–16	-0.04	19%	27 Jun →
inferno	8–13	-0.03	28%	27 Jun →
inferno	10–13	-0.04	13%	27 Jun →
anubis	13–6	0.08	23%	27 Jun →
mirage	13–3	0.06	19%	26 Jun →
cache	4–13	-0.06	23%	26 Jun →
cache	13–7	-0.02	18%	26 Jun →
inferno	13–9	-0.03	10%	26 Jun →
mirage	13–4	0.02	22%	26 Jun →
anubis	13–6	0.06	23%	26 Jun →
overpass	13–5	0.04	7%	26 Jun →
cache	13–6	0.01	14%	25 Jun →
mirage	13–4	0.03	12%	25 Jun →
inferno	13–10	-0.05	16%	25 Jun →
mirage	11–0	0.02	13%	25 Jun →
mirage	10–13	0.03	22%	25 Jun →
inferno	13–10	-0.01	12%	25 Jun →
cache	19–15	-0.03	15%	25 Jun →
ancient	13–4	0.06	27%	25 Jun →
anubis	5–13	-0.01	16%	25 Jun →
mirage	11–13	-0.07	21%	24 Jun →
inferno	0–13	-0.08	10%	24 Jun →
mirage	9–13	0.01	19%	24 Jun →
ancient	7–13	-0.06	14%	15 Jun →
dust2	13–4	0.01	29%	14 Jun →
dust2	4–13	-0.05	20%	14 Jun →
ancient	13–5	-0.04	21%	14 Jun →
mirage	6–13	0.02	24%	14 Jun →
dust2	6–13	-0.08	26%	14 Jun →
anubis	11–13	-0.02	21%	17 May →
inferno	13–1	0.06	26%	17 May →
mirage	13–4	0.02	20%	16 May →
inferno	3–13	-0.00	29%	16 May →
ancient	13–10	-0.04	8%	16 May →
dust2	4–13	-0.03	20%	16 May →
inferno	6–13	0.01	18%	16 May →
dust2	16–13	0.01	25%	16 May →
mirage	6–13	0.03	20%	16 May →
ancient	7–13	-0.02	14%	16 May →
dust2	8–13	-0.03	14%	16 May →
mirage	4–13	-0.05	23%	16 May →
inferno	7–13	0.00	24%	16 May →
dust2	16–14	-0.03	36%	16 May →
mirage	13–9	-0.03	17%	15 May →
inferno	13–6	0.07	26%	15 May →