frozen — CS2 Stats

PRO“hakuna matata”FaZe ClanSlovakiaRiflerSettings & gear profile →

SK76561198068422762[U:1:108157034]Steam profile ↗✓ No bans

2,958Tracked matches63%Win rate2020Tracked since

CSDB Rating8.5 EliteAggressive Rifler

CSDB Leaderboard#6369 of 7975 tracked

FaceitLevel 10 · 3,652 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

3,652Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 3,652
Next: 4,000 ELO at 4,000 — 348 to go
Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
3,500 ELO first seen 2026-08-28
3,000 ELO first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim96

Positioning68

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateWWLWLWWLLW

Last 10 vs previous 10: +0pp win rate · +0.09 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.6

Aggression9.9

Utility7.0

Positioning6.8

Opening Duels5.6

Clutch5.2

Sharp aimerExcellent counter-strafing

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 sh1ro 96% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

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

Aim9.6

Positioning6.8

Utility7.0

Mechanics8.7

Opening Duels5.6

Win Impact9.4

Composite 8.5/10 (Elite), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.04

first ⅓ avg 0.08 → last ⅓ avg 0.04

Reaction time435ms−52ms

first ⅓ avg 487ms → last ⅓ avg 435ms

Headshot accuracy22.3%−3.8%

first ⅓ avg 26.1% → last ⅓ avg 22.3%

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

0.31Best rating — ancient 13–2

13–1Biggest win — dust2

6Longest win streak

W2Current streak

5–17In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 74% over 19anubisWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	23	14–9	61%	0.06
mirage	S	19	14–5	74%	0.05
dust2	C	16	6–10	38%	0.04
anubis	D	12	3–9	25%	0.04
nuke	S	11	8–3	73%	0.04
cache	A	8	5–3	63%	0.04
inferno	S	6	4–2	67%	0.16
overpass	—	3	1–2	33%	0.09
italy	—	1	1–0	100%	0.17
vertigo	—	1	0–1	0%	0.17

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,981Matches

61%Win rate

1.53Avg K/D

115.2ADR

56%Headshot %

Clutches & streaks

46%1v1 clutch win

36%1v2 clutch win

33Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	188	68%	1.94	23.3
Mirage	179	65%	1.80	21.6
Anubis	132	61%	1.85	23.1
Dust2	118	64%	2.13	24.5
Inferno	80	69%	1.80	21.7
Nuke	62	74%	2.34	23.5
Overpass	34	65%	1.52	21.8
Vertigo	20	65%	2.19	21.4

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$15,934Inventory value358ItemsFull inventory breakdown →

$1,805

$1,770

$1,701

$1,693

$1,208

$1,098

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.0%Headshot accuracy

42.6%Accuracy (enemy spotted)

44.4%Spray accuracy

89.3%Counter-strafing

8.4°Preaim

434msReaction time

47.4%T opening success

57.6%CT opening success

0.67Enemies flashed / flash

11.5%Flash assists

9.95HE damage / grenade

11.39Flashes / match

Recommended for you

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 12 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
dust2	13–8	0.13	30%	27 Aug →
mirage	13–3	0.15	25%	27 Aug →
mirage	11–13	0.17	18%	25 Aug →
inferno	13–7	0.23	21%	24 Aug →
cache	9–13	0.01	31%	24 Aug →
ancient	13–5	0.08	19%	24 Aug →
mirage	13–3	0.04	23%	24 Aug →
dust2	11–13	-0.02	24%	20 Aug →
cache	6–13	0.04	25%	20 Aug →
mirage	13–8	0.00	8%	13 Aug →
cache	13–6	0.02	16%	13 Aug →
nuke	13–11	-0.01	30%	12 Aug →
cache	13–9	0.02	14%	1 Aug →
anubis	11–13	0.00	26%	1 Aug →
dust2	6–13	-0.05	27%	1 Aug →
ancient	13–8	-0.02	16%	31 Jul →
mirage	7–13	-0.05	25%	31 Jul →
nuke	16–12	0.03	20%	31 Jul →
mirage	10–13	-0.01	21%	25 Jul →
cache	13–7	0.02	24%	25 Jul →
nuke	13–2	0.04	18%	25 Jul →
mirage	16–12	-0.02	33%	22 Jul →
dust2	13–8	0.02	24%	22 Jul →
dust2	13–1	0.20	35%	16 Jul →
cache	13–9	0.03	26%	11 Jul →
ancient	17–19	0.01	21%	11 Jul →
dust2	17–19	-0.02	13%	11 Jul →
ancient	13–6	0.11	24%	10 Jul →
ancient	20–22	0.03	15%	5 Jul →
cache	13–3	0.15	23%	5 Jul →
mirage	16–14	-0.05	19%	5 Jul →
ancient	13–5	-0.04	29%	4 Jul →
anubis	13–1	0.07	14%	4 Jul →
ancient	13–2	0.06	25%	3 Jul →
mirage	13–7	0.10	22%	3 Jul →
ancient	6–13	0.02	17%	2 Jul →
anubis	8–13	0.01	21%	1 Jul →
dust2	17–19	0.03	25%	25 Jun →
ancient	6–13	0.02	44%	21 Jun →
inferno	11–13	0.06	42%	17 Jun →
nuke	13–3	0.18	27%	11 Jun →
anubis	5–13	0.02	27%	10 Jun →
mirage	13–3	0.09	36%	9 Jun →
dust2	4–13	0.07	31%	9 Jun →
inferno	13–4	0.27	33%	8 Jun →
ancient	13–6	0.18	39%	8 Jun →
ancient	11–13	-0.04	26%	30 May →
ancient	13–9	-0.03	20%	29 May →
mirage	19–15	0.07	28%	29 May →
ancient	1–3	-0.05	0%	29 May →
overpass	10–13	0.09	23%	28 May →
mirage	13–4	-0.02	22%	28 May →
anubis	13–8	0.04	14%	27 May →
mirage	13–3	0.11	37%	24 May →
ancient	13–9	0.23	29%	24 May →
italy	13–4	0.17	38%	24 May →
nuke	0–1	-0.01	33%	13 May →
dust2	5–13	0.00	23%	13 May →
nuke	14–15	0.02	26%	13 May →
ancient	13–3	0.11	17%	12 May →
nuke	13–11	0.02	14%	12 May →
anubis	8–13	-0.01	29%	11 May →
dust2	11–13	0.01	31%	7 May →
mirage	13–5	0.17	24%	7 May →
ancient	11–13	-0.05	11%	2 May →
dust2	5–13	-0.01	27%	2 May →
dust2	13–11	-0.01	17%	1 May →
ancient	9–13	-0.02	14%	1 May →
mirage	16–13	0.03	29%	1 May →
dust2	13–4	0.09	33%	30 Apr →
nuke	13–3	0.09	28%	30 Apr →
mirage	7–13	-0.03	26%	30 Apr →
anubis	7–13	0.01	33%	29 Apr →
ancient	11–13	0.03	24%	29 Apr →
overpass	16–14	0.16	37%	26 Apr →
inferno	10–13	0.10	28%	26 Apr →
ancient	13–8	0.12	22%	26 Apr →
anubis	6–13	0.05	29%	24 Apr →
ancient	13–6	0.04	25%	24 Apr →
dust2	19–22	0.11	25%	23 Apr →
cache	8–13	0.06	23%	23 Apr →
inferno	13–8	0.11	24%	21 Apr →
inferno	13–4	0.19	33%	19 Apr →
anubis	11–13	0.05	20%	19 Apr →
ancient	13–2	0.31	29%	19 Apr →
dust2	7–13	0.05	38%	19 Apr →
mirage	10–13	0.09	21%	13 Apr →
ancient	13–6	0.12	37%	13 Apr →
anubis	13–6	0.08	33%	12 Apr →
vertigo	12–12	0.17	23%	12 Apr →
ancient	13–3	0.25	34%	12 Apr →
anubis	12–16	0.10	25%	11 Apr →
nuke	9–13	-0.04	6%	6 Apr →
overpass	11–13	0.02	33%	5 Apr →
anubis	3–13	0.01	26%	5 Apr →
nuke	13–9	0.03	24%	5 Apr →
mirage	13–6	0.03	18%	5 Apr →
mirage	13–9	0.02	22%	5 Apr →
dust2	13–7	0.07	14%	5 Apr →
nuke	13–9	0.06	26%	3 Apr →