hattuhattu 4x4 — CS2 Stats

FI76561197975619554[U:1:15353826]Steam profile ↗✓ No bans

1,449Tracked matches43%Win rate2020Tracked since

CSDB Rating3.9 Learning

Premier CS Rating19,877Purple band · top ~9% of ranked players (population est.)

CSDB Leaderboard#12833 of 30298 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim38

Positioning49

Utility53

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLLLWLLLWWL

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

Player DNA

Aim3.8

Aggression5.6

Utility5.3

Positioning4.9

Opening Duels1.7

Clutch0.0

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 82% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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 46% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8

Positioning4.9

Utility5.3

Mechanics3.3

Opening Duels2.0

Win Impact2.8

Composite 3.9/10 (Learning), 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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time651ms+25ms

first ⅓ avg 626ms → last ⅓ avg 651ms

Headshot accuracy16.2%+0.4%

first ⅓ avg 15.8% → last ⅓ avg 16.2%

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

0.05Best rating — mirage 14–16

13–1Biggest win — nuke

4Longest win streak

L3Current streak

8–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 73% over 11anubisWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	20	9–11	45%	-0.04
inferno	B	15	7–8	47%	-0.01
cache	A	14	8–6	57%	-0.03
anubis	D	13	4–9	31%	-0.04
mirage	D	13	4–9	31%	-0.03
nuke	S	11	8–3	73%	-0.02
ancient	B	10	5–5	50%	-0.02
overpass	—	3	3–0	100%	-0.02
stronghold	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

103Matches

58%Win rate

0.90Avg K/D

56.4ADR

39%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	1	100%	1.12	9.0
Mirage	1	100%	0.80	12.0
Anubis	1	100%	0.75	12.0
Dust2	1	100%	1.27	14.0

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.

16.3%Headshot accuracy

29.7%Accuracy (enemy spotted)

32.5%Spray accuracy

64.7%Counter-strafing

10.2°Preaim

645msReaction time

27.8%T opening success

46.0%CT opening success

0.50Enemies flashed / flash

5.1%Flash assists

10.30HE damage / grenade

6.14Flashes / 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 0.4997 — 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 27.7644% — 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.

31% 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
nuke	9–13	-0.04	15%	22 Aug →
dust2	3–13	-0.06	8%	22 Aug →
dust2	10–13	-0.06	27%	22 Aug →
anubis	16–14	-0.03	21%	22 Aug →
cache	13–16	-0.03	21%	22 Aug →
inferno	13–16	0.00	21%	7 Aug →
anubis	11–13	-0.05	16%	7 Aug →
nuke	13–10	-0.07	17%	6 Aug →
dust2	13–11	-0.07	11%	5 Aug →
dust2	4–13	-0.10	9%	4 Aug →
anubis	1–9	-0.05	31%	4 Aug →
cache	13–5	-0.07	10%	4 Aug →
mirage	13–7	0.02	11%	4 Aug →
ancient	11–13	-0.02	15%	3 Aug →
ancient	13–2	0.02	13%	3 Aug →
inferno	10–13	0.00	17%	3 Aug →
nuke	13–1	0.02	7%	3 Aug →
anubis	14–16	-0.08	11%	27 Jul →
mirage	2–13	-0.10	32%	27 Jul →
ancient	7–13	-0.00	19%	27 Jul →
anubis	11–13	-0.01	8%	27 Jul →
inferno	13–6	-0.04	11%	27 Jul →
nuke	13–8	0.01	13%	27 Jul →
dust2	13–11	-0.03	16%	27 Jul →
mirage	11–13	-0.10	12%	27 Jul →
inferno	6–13	-0.01	30%	27 Jul →
dust2	7–13	-0.12	14%	27 Jul →
cache	13–11	0.01	15%	21 Jul →
dust2	13–6	-0.01	20%	21 Jul →
dust2	16–12	-0.00	21%	20 Jul →
ancient	13–8	-0.02	13%	20 Jul →
anubis	8–13	-0.07	17%	20 Jul →
mirage	5–13	-0.06	13%	20 Jul →
nuke	16–12	-0.00	15%	20 Jul →
ancient	4–13	-0.02	16%	20 Jul →
anubis	9–13	-0.05	8%	20 Jul →
inferno	5–13	-0.01	13%	19 Jul →
nuke	13–8	-0.00	13%	19 Jul →
cache	6–13	0.01	19%	19 Jul →
inferno	8–13	0.01	22%	13 Jul →
dust2	13–8	0.00	21%	13 Jul →
nuke	11–13	0.00	10%	13 Jul →
mirage	8–13	-0.01	19%	13 Jul →
inferno	13–9	-0.00	11%	13 Jul →
anubis	13–7	-0.01	24%	13 Jul →
anubis	13–9	-0.06	3%	13 Jul →
cache	13–7	-0.01	6%	13 Jul →
mirage	14–16	0.05	14%	13 Jul →
mirage	13–6	-0.02	5%	12 Jul →
dust2	10–13	-0.08	19%	12 Jul →
cache	16–13	-0.08	2%	12 Jul →
anubis	9–13	-0.06	18%	12 Jul →
cache	13–5	0.01	19%	11 Jul →
inferno	13–1	0.04	28%	11 Jul →
ancient	13–5	-0.02	17%	11 Jul →
dust2	8–13	-0.00	14%	11 Jul →
dust2	13–7	-0.04	22%	11 Jul →
ancient	13–4	-0.02	12%	11 Jul →
anubis	5–13	0.01	21%	11 Jul →
mirage	13–6	0.01	18%	11 Jul →
dust2	9–13	0.01	26%	11 Jul →
mirage	6–13	-0.07	33%	10 Jul →
anubis	13–8	-0.02	13%	10 Jul →
inferno	10–13	-0.02	13%	10 Jul →
cache	6–13	-0.01	21%	10 Jul →
nuke	13–5	0.01	16%	9 Jul →
mirage	13–3	-0.00	12%	9 Jul →
anubis	8–13	-0.08	14%	9 Jul →
inferno	10–13	-0.03	9%	9 Jul →
dust2	6–13	-0.05	18%	9 Jul →
ancient	13–5	-0.05	11%	9 Jul →
cache	13–4	-0.05	15%	9 Jul →
nuke	6–13	-0.02	13%	9 Jul →
dust2	13–7	0.05	10%	9 Jul →
cache	13–8	-0.04	23%	9 Jul →
inferno	10–13	-0.00	29%	9 Jul →
cache	13–10	0.01	16%	8 Jul →
cache	4–13	-0.08	10%	8 Jul →
cache	12–12	0.00	24%	8 Jul →
overpass	13–9	-0.04	18%	6 Jul →
stronghold	2–3	-0.02	22%	6 Jul →
cache	8–13	-0.05	15%	6 Jul →
inferno	16–14	-0.01	20%	6 Jul →
dust2	6–13	-0.05	14%	6 Jul →
nuke	13–11	-0.04	21%	6 Jul →
inferno	13–9	-0.02	15%	4 Jul →
mirage	7–13	-0.10	10%	4 Jul →
dust2	13–11	-0.01	20%	4 Jul →
mirage	6–13	-0.02	5%	4 Jul →
overpass	13–8	-0.02	7%	4 Jul →
dust2	13–11	-0.07	16%	4 Jul →
ancient	10–13	-0.05	12%	4 Jul →
nuke	16–13	-0.04	16%	4 Jul →
mirage	15–15	-0.03	13%	2 Jul →
inferno	13–4	0.02	19%	2 Jul →
inferno	13–10	-0.02	28%	2 Jul →
dust2	15–15	-0.02	13%	2 Jul →
overpass	13–7	0.01	16%	2 Jul →
dust2	2–13	-0.03	17%	2 Jul →
ancient	9–13	-0.07	16%	2 Jul →