Uulari 🍉 — CS2 Stats

76561198119097173[U:1:158831445]✓ No bans

1,031Tracked matches38%Win rate2020Tracked since

CSDB Rating3.5 Learning

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim36

Positioning47

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWLWLLWWLLL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim3.6

Aggression4.5

Utility5.0

Positioning4.7

Opening Duels0.3

Clutch1.0

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 76% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 654ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.6

Positioning4.7

Utility5.0

Mechanics3.7

Opening Duels0.6

Win Impact1.0

Composite 3.5/10 (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-0.03−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.03

Reaction time664ms+13ms

first ⅓ avg 650ms → last ⅓ avg 664ms

Headshot accuracy16.3%+0.8%

first ⅓ avg 15.5% → last ⅓ avg 16.3%

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

0.10Best rating — overpass 13–10

13–2Biggest win — nuke

5Longest win streak

9–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 60% over 5ancientWeakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	23	11–12	48%	-0.01
inferno	B	20	10–10	50%	-0.01
anubis	B	19	9–10	47%	-0.00
ancient	C	17	7–10	41%	-0.02
overpass	B	10	5–5	50%	-0.00
mirage	A	5	3–2	60%	0.00
dust2	—	4	2–2	50%	0.00
cache	—	2	1–1	50%	-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

655Matches

51%Win rate

1.18Avg K/D

75.1ADR

40%Headshot %

Clutches & streaks

25%1v1 clutch win

10%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	11	45%	1.23	14.9
Ancient	8	38%	0.89	13.9
Nuke	6	83%	1.20	17.0
Dust2	5	80%	1.24	19.0
Inferno	5	20%	0.85	12.0
Mirage	2	50%	1.24	15.0
Train	2	100%	1.00	16.5

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.

16.5%Headshot accuracy

32.6%Accuracy (enemy spotted)

31.1%Spray accuracy

66.5%Counter-strafing

12.1°Preaim

654msReaction time

27.3%T opening success

35.1%CT opening success

0.45Enemies flashed / flash

6.6%Flash assists

9.34HE damage / grenade

7.99Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0869° — above the 12° mark we flag
Aim Training →
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 0.4494 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	-0.02	11%	9 Jul →
ancient	11–13	-0.04	16%	9 Jul →
nuke	13–11	0.01	30%	22 Jun →
anubis	3–13	-0.10	35%	22 Jun →
ancient	9–13	-0.04	13%	22 Jun →
anubis	13–11	-0.00	17%	18 Jun →
overpass	13–10	-0.04	13%	18 Jun →
overpass	5–13	-0.04	11%	15 Jun →
nuke	2–13	-0.05	0%	13 Jun →
inferno	9–13	-0.03	18%	13 Jun →
nuke	8–13	0.03	18%	13 Jun →
overpass	13–8	0.00	23%	11 Jun →
inferno	15–15	-0.01	18%	11 Jun →
nuke	7–13	-0.08	23%	11 Jun →
nuke	9–13	0.02	20%	29 May →
inferno	9–13	0.01	28%	29 May →
ancient	13–9	0.01	18%	27 May →
anubis	4–13	-0.06	8%	25 May →
ancient	2–13	-0.06	15%	25 May →
nuke	8–13	-0.04	10%	24 May →
nuke	10–13	-0.05	17%	24 May →
anubis	13–9	-0.05	7%	24 May →
nuke	6–13	-0.06	12%	23 May →
anubis	13–5	0.03	17%	23 May →
inferno	13–8	-0.03	10%	23 May →
ancient	13–10	-0.03	11%	23 May →
anubis	12–16	-0.02	8%	23 May →
anubis	13–11	-0.00	19%	22 May →
dust2	6–13	-0.05	39%	22 May →
mirage	11–13	0.01	14%	22 May →
inferno	13–5	-0.01	26%	22 May →
nuke	7–13	-0.08	10%	21 May →
overpass	13–5	-0.01	6%	21 May →
inferno	13–9	0.02	11%	21 May →
inferno	8–13	-0.04	15%	20 May →
ancient	13–4	-0.03	23%	20 May →
inferno	13–7	-0.01	12%	20 May →
dust2	7–13	-0.00	16%	18 May →
anubis	13–8	0.06	23%	17 May →
overpass	13–10	0.10	13%	17 May →
ancient	13–9	-0.00	13%	17 May →
nuke	4–13	-0.07	17%	17 May →
anubis	4–13	0.05	39%	14 May →
mirage	13–9	-0.03	18%	14 May →
ancient	10–13	-0.02	21%	14 May →
inferno	11–13	-0.06	11%	12 May →
nuke	13–2	0.05	50%	12 May →
overpass	11–13	-0.02	21%	12 May →
nuke	13–5	0.02	16%	11 May →
overpass	11–13	-0.07	27%	11 May →
nuke	13–5	0.01	10%	11 May →
anubis	9–13	-0.02	19%	10 May →
inferno	11–13	0.01	33%	10 May →
nuke	13–10	-0.02	21%	9 May →
inferno	11–13	-0.05	22%	9 May →
nuke	7–13	-0.06	12%	9 May →
mirage	13–11	0.03	15%	8 May →
inferno	7–13	-0.03	19%	8 May →
nuke	13–4	0.05	13%	8 May →
inferno	15–15	-0.04	22%	7 May →
inferno	4–2	-0.00	22%	7 May →
nuke	13–9	0.01	17%	7 May →
anubis	9–13	0.00	22%	7 May →
ancient	9–13	-0.04	18%	30 Apr →
cache	10–13	-0.07	5%	30 Apr →
cache	13–3	-0.03	9%	30 Apr →
overpass	7–13	-0.05	23%	27 Apr →
dust2	13–6	0.07	9%	27 Apr →
inferno	13–8	0.06	14%	24 Apr →
anubis	11–13	0.01	15%	24 Apr →
ancient	13–9	0.04	16%	24 Apr →
anubis	13–11	-0.08	15%	20 Apr →
ancient	8–13	0.02	18%	20 Apr →
mirage	8–13	-0.02	14%	19 Apr →
anubis	13–2	0.09	17%	19 Apr →
ancient	1–13	-0.07	13%	19 Apr →
inferno	9–13	-0.06	14%	17 Apr →
nuke	13–5	-0.03	6%	17 Apr →
ancient	8–13	-0.05	13%	17 Apr →
anubis	11–13	0.02	28%	17 Apr →
nuke	13–9	0.04	12%	15 Apr →
ancient	13–11	0.02	16%	15 Apr →
mirage	13–8	0.02	11%	15 Apr →
anubis	13–2	0.03	11%	15 Apr →
overpass	13–5	0.08	14%	15 Apr →
anubis	5–13	-0.04	8%	15 Apr →
nuke	11–13	-0.07	18%	15 Apr →
anubis	5–13	-0.03	16%	14 Apr →
overpass	10–13	0.02	15%	11 Apr →
inferno	13–10	0.00	16%	11 Apr →
anubis	13–9	0.03	23%	11 Apr →
nuke	5–13	-0.06	5%	11 Apr →
nuke	13–9	0.10	27%	9 Apr →
inferno	16–13	0.07	19%	8 Apr →
ancient	13–5	0.00	23%	8 Apr →
inferno	16–12	0.04	22%	7 Apr →
dust2	16–14	-0.01	21%	7 Apr →
ancient	9–13	-0.00	10%	7 Apr →
ancient	5–13	-0.02	14%	6 Apr →
nuke	16–13	-0.00	17%	4 Apr →