Ulti — CS2 Stats

76561198021678115[U:1:61412387]Steam profile ↗

2,174Tracked matches55%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating21,407Top 50% of 17,162 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)

CSDB Leaderboard#8039 of 23116 tracked

FaceitLevel 7 · 1,355 ELOTop 42.3% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning56

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateWWWLWLLLTW

Last 10 vs previous 10: +10pp win rate · -0.03 avg rating

Player DNA

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

Aim6.1

Aggression5.4

Utility6.1

Positioning5.6

Opening Duels2.2

Clutch1.8

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 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 58% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Aim6.1

Positioning5.6

Utility6.1

Mechanics3.7

Opening Duels3.5

Win Impact6.7

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time633ms−26ms

first ⅓ avg 659ms → last ⅓ avg 633ms

Headshot accuracy18.8%+1.9%

first ⅓ avg 16.9% → last ⅓ avg 18.8%

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

0.11Best rating — dust2 13–10

13–1Biggest win — ancient

4Longest win streak

W3Current streak

8–3In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 60% over 5anubisWeakest map · 35% over 17

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	26	15–11	58%	-0.01
anubis	C	17	6–11	35%	-0.02
inferno	B	15	8–7	53%	-0.00
dust2	A	14	8–6	57%	-0.01
mirage	C	10	4–6	40%	-0.03
overpass	C	8	3–5	38%	-0.01
nuke	A	5	3–2	60%	-0.03
cache	C	5	2–3	40%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

729Matches

50%Win rate

1.03Avg K/D

77.3ADR

47%Headshot %

Clutches & streaks

29%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	82	55%	1.09	15.7
Ancient	59	61%	1.16	16.6
Anubis	47	36%	1.01	15.2
Mirage	45	40%	0.93	14.4
Dust2	42	48%	1.06	13.7
Overpass	24	46%	1.21	16.2
Nuke	18	56%	1.10	15.8
Cache	8	50%	1.41	17.1

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.

18.5%Headshot accuracy

34.4%Accuracy (enemy spotted)

40.2%Spray accuracy

66.7%Counter-strafing

9.3°Preaim

625msReaction time

20.1%T opening success

57.8%CT opening success

0.56Enemies flashed / flash

5.5%Flash assists

11.28HE damage / grenade

6.99Flashes / 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
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 20.0594% — 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.

35% win rate across 17 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
inferno	13–9	-0.02	11%	26 Aug →
nuke	13–8	-0.05	23%	25 Aug →
ancient	22–18	0.04	18%	23 Aug →
inferno	6–13	-0.06	32%	23 Aug →
cache	13–9	-0.02	19%	23 Aug →
anubis	11–13	-0.05	11%	23 Aug →
dust2	8–13	-0.06	11%	17 Aug →
anubis	3–13	-0.11	17%	17 Aug →
mirage	15–15	-0.01	15%	16 Aug →
inferno	13–8	-0.02	19%	16 Aug →
mirage	11–13	0.00	15%	16 Aug →
cache	9–13	0.00	33%	10 Aug →
ancient	7–13	-0.08	13%	5 Aug →
ancient	9–13	0.03	15%	5 Aug →
nuke	9–13	-0.05	10%	5 Aug →
inferno	13–9	0.04	32%	5 Aug →
dust2	13–10	0.11	13%	2 Aug →
dust2	13–6	-0.06	14%	2 Aug →
dust2	13–4	0.01	15%	2 Aug →
ancient	4–13	-0.04	25%	2 Aug →
dust2	13–11	-0.04	21%	1 Aug →
nuke	13–10	-0.01	14%	1 Aug →
ancient	13–10	0.02	11%	28 Jul →
anubis	16–13	0.01	18%	28 Jul →
inferno	10–13	0.06	30%	28 Jul →
ancient	3–13	-0.04	35%	28 Jul →
ancient	13–5	0.03	20%	25 Jul →
anubis	13–11	0.03	24%	25 Jul →
cache	8–13	-0.04	23%	25 Jul →
ancient	16–12	-0.04	10%	25 Jul →
anubis	15–15	0.00	16%	22 Jul →
inferno	6–13	-0.05	15%	20 Jul →
cache	2–13	-0.06	26%	20 Jul →
dust2	8–13	-0.05	26%	20 Jul →
ancient	13–2	0.03	15%	20 Jul →
cache	13–9	-0.03	34%	18 Jul →
mirage	13–10	-0.05	23%	18 Jul →
ancient	2–13	-0.06	18%	18 Jul →
anubis	15–15	0.00	20%	18 Jul →
mirage	3–13	-0.09	13%	18 Jul →
ancient	13–4	0.05	23%	18 Jul →
mirage	13–11	-0.01	15%	16 Jul →
dust2	6–13	-0.00	22%	11 Jul →
ancient	13–9	0.01	19%	11 Jul →
anubis	13–10	-0.01	11%	11 Jul →
dust2	13–9	0.03	26%	11 Jul →
anubis	13–16	-0.04	16%	11 Jul →
inferno	8–13	-0.06	24%	6 Jul →
inferno	6–13	-0.04	29%	6 Jul →
anubis	13–10	-0.05	9%	5 Jul →
overpass	16–12	0.03	23%	5 Jul →
overpass	13–6	-0.02	18%	5 Jul →
dust2	7–13	-0.01	11%	5 Jul →
anubis	15–15	-0.01	17%	5 Jul →
ancient	16–13	0.04	14%	28 Jun →
nuke	3–13	-0.01	33%	28 Jun →
ancient	13–8	-0.04	10%	28 Jun →
mirage	13–2	0.02	23%	28 Jun →
overpass	13–5	0.11	22%	28 Jun →
inferno	11–13	-0.00	17%	27 Jun →
ancient	13–1	-0.01	14%	22 Jun →
overpass	9–13	-0.01	18%	22 Jun →
ancient	3–13	-0.00	9%	22 Jun →
ancient	9–13	-0.09	16%	2 Jun →
anubis	7–13	0.01	27%	2 Jun →
anubis	7–13	-0.02	22%	2 Jun →
inferno	13–4	0.03	9%	1 Jun →
ancient	13–10	0.05	19%	1 Jun →
ancient	13–11	-0.01	27%	1 Jun →
inferno	13–6	-0.02	21%	28 May →
anubis	4–13	-0.02	23%	25 May →
dust2	13–7	0.04	14%	13 May →
inferno	8–13	-0.01	22%	12 May →
ancient	13–10	0.01	11%	5 May →
inferno	13–9	0.01	21%	5 May →
mirage	13–16	-0.04	8%	1 May →
overpass	5–13	-0.03	23%	1 May →
ancient	13–11	-0.07	7%	26 Apr →
ancient	7–13	-0.07	31%	25 Apr →
overpass	15–15	-0.06	8%	25 Apr →
overpass	15–15	-0.02	16%	25 Apr →
anubis	7–13	-0.06	21%	21 Apr →
ancient	15–15	0.05	6%	21 Apr →
inferno	13–11	0.04	24%	21 Apr →
ancient	9–13	-0.07	21%	21 Apr →
dust2	9–13	-0.09	11%	18 Apr →
dust2	9–13	-0.04	18%	18 Apr →
mirage	13–11	-0.00	10%	13 Apr →
anubis	3–13	-0.03	16%	6 Apr →
mirage	1–13	-0.03	20%	6 Apr →
dust2	13–2	0.05	15%	3 Apr →
inferno	13–11	0.03	18%	3 Apr →
mirage	1–13	-0.12	24%	3 Apr →
anubis	13–5	0.01	15%	3 Apr →
nuke	13–10	-0.03	14%	2 Apr →
anubis	13–9	0.01	14%	2 Apr →
ancient	13–6	0.04	12%	2 Apr →
overpass	7–13	-0.05	13%	30 Mar →
ancient	9–13	0.05	11%	30 Mar →
dust2	13–10	0.01	24%	29 Mar →