Uni — CS2 Stats

76561199085384287[U:1:1125118559]✓ No bans

769Tracked matches57%Win rate2023Tracked since

745Hours in CS6Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

WingmanMaster Guardian I

Ladder ranks via Leetify

Performance scores

Aim75

Positioning52

Utility27

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWWLLWLWWLL

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

Player DNA

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

Aim7.5

Aggression6.1

Utility2.7

Positioning5.2

Opening Duels2.0

Clutch4.6

Strong CT-side openerLimited utility dependence

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 85% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 46% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms 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

Aim7.5

Positioning5.2

Utility2.7

Mechanics8.4

Opening Duels2.0

Win Impact7.4

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time640ms+8ms

first ⅓ avg 632ms → last ⅓ avg 640ms

Headshot accuracy17.7%+0.1%

first ⅓ avg 17.7% → last ⅓ avg 17.7%

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

0.20Best rating — mirage 13–8

13–0Biggest win — dust2

6Longest win streak

W2Current streak

10–12In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 63% over 16nukeWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	21	9–12	43%	0.01
inferno	D	21	7–14	33%	0.02
mirage	B	21	11–10	52%	0.03
ancient	A	16	10–6	63%	0.01
nuke	D	10	3–7	30%	0.02
overpass	—	4	2–2	50%	-0.05
anubis	—	3	2–1	67%	0.02
cache	—	2	1–1	50%	-0.02
train	—	2	2–0	100%	0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,808Lifetime kills

1.32K/D · Top 25% of tracked players

1,466Matches

45.2%Match win rate

42.3%Headshot %

8.5%Shot accuracy

5,292MVPs

374Hours (in match)

1,473Bombs planted

407Bombs defused

Most-used weapons

AK-478,204

AWP6,064

M4A4 / M4A1-S3,337

Desert Eagle1,720

P2000 / USP-S1,140

Galil AR928

Glock-18924

MP9723

P250548

SSG 08514

Lifetime map wins

2,568dust2

1,856inferno

1,340nuke

812vertigo

176train

165office

127italy

31assault

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

70Matches

39%Win rate

1.09Avg K/D

78.8ADR

36%Headshot %

Clutches & streaks

43%1v1 clutch win

12%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	57%	1.30	14.4
Ancient	12	25%	0.99	16.2
Dust2	8	38%	1.15	17.8
Inferno	7	14%	0.79	11.3
Anubis	6	33%	1.32	18.5
Vertigo	6	17%	1.06	13.3
Nuke	5	40%	0.82	11.4
Train	3	67%	0.79	11.3

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.

17.5%Headshot accuracy

35.6%Accuracy (enemy spotted)

39.8%Spray accuracy

87.6%Counter-strafing

9.3°Preaim

635msReaction time

29.9%T opening success

46.1%CT opening success

0.41Enemies flashed / flash

4.4%Flash assists

9.05HE damage / grenade

3.36Flashes / 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 0.413 — 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 29.9233% — below the 40% mark we flag

Spend your practice time on Nuke

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–6	-0.01	25%	29 Aug →
dust2	13–8	-0.04	15%	28 Aug →
inferno	10–13	0.02	20%	28 Aug →
ancient	11–13	-0.01	21%	27 Aug →
dust2	13–4	0.05	20%	27 Aug →
mirage	3–13	-0.01	13%	26 Aug →
dust2	13–6	0.04	39%	23 Aug →
ancient	13–3	-0.01	11%	23 Aug →
dust2	6–13	-0.08	16%	18 Aug →
dust2	6–13	-0.08	2%	6 Aug →
ancient	11–13	-0.02	15%	13 Jul →
mirage	7–13	0.02	21%	13 Jul →
cache	13–11	0.05	15%	12 Jul →
overpass	16–13	-0.03	17%	30 Jun →
dust2	13–16	-0.00	11%	30 Jun →
ancient	6–0	0.02	10%	29 Jun →
nuke	10–13	-0.06	16%	29 Jun →
inferno	13–3	0.04	13%	28 Jun →
mirage	13–11	0.06	14%	24 Jun →
mirage	13–8	-0.06	14%	23 Jun →
inferno	5–9	0.11	19%	21 Jun →
inferno	13–10	-0.03	17%	19 Jun →
inferno	15–15	0.04	17%	18 Jun →
ancient	13–1	-0.01	9%	18 Jun →
dust2	15–15	-0.03	18%	17 Jun →
dust2	13–16	0.03	16%	16 Jun →
nuke	5–9	0.04	29%	10 Jun →
dust2	13–11	0.06	36%	10 Jun →
ancient	13–8	0.00	20%	7 Jun →
anubis	8–13	0.01	22%	1 Jun →
mirage	13–11	-0.03	21%	1 Jun →
nuke	14–16	-0.01	14%	25 May →
mirage	10–13	-0.11	21%	24 May →
inferno	7–9	0.08	20%	24 May →
nuke	6–0	0.00	0%	24 May →
inferno	7–9	0.05	24%	24 May →
inferno	5–9	0.03	11%	23 May →
overpass	1–9	-0.23	13%	23 May →
mirage	9–13	0.06	23%	10 May →
nuke	13–7	0.06	11%	10 May →
cache	11–13	-0.10	8%	9 May →
inferno	4–9	-0.07	14%	8 May →
nuke	9–7	0.15	23%	8 May →
inferno	9–5	0.12	33%	2 May →
inferno	0–9	-0.17	7%	2 May →
inferno	9–5	0.17	33%	2 May →
inferno	9–13	0.03	24%	24 Apr →
ancient	13–4	0.04	28%	24 Apr →
mirage	9–13	0.02	24%	12 Apr →
dust2	13–11	0.01	23%	12 Apr →
mirage	13–9	0.00	23%	10 Apr →
ancient	13–11	-0.05	6%	30 Mar →
anubis	13–6	0.02	16%	30 Mar →
dust2	13–7	0.07	16%	20 Mar →
anubis	13–2	0.03	40%	20 Mar →
mirage	8–13	0.05	17%	15 Mar →
inferno	11–13	-0.02	12%	12 Mar →
dust2	7–13	-0.09	30%	12 Mar →
mirage	5–13	0.04	28%	25 Jan →
mirage	9–13	0.09	5%	25 Jan →
inferno	9–3	0.18	11%	4 Jan →
inferno	3–13	0.00	13%	1 Jan →
ancient	16–14	0.03	12%	1 Jan →
mirage	13–7	0.02	5%	29 Dec →
mirage	16–14	0.01	11%	29 Dec →
dust2	16–13	0.06	19%	28 Dec →
mirage	13–1	0.06	13%	27 Dec →
dust2	13–0	0.02	16%	26 Dec →
inferno	5–13	-0.06	19%	23 Dec →
dust2	4–13	0.05	18%	23 Dec →
dust2	3–13	-0.03	29%	23 Dec →
mirage	13–0	0.15	10%	22 Dec →
ancient	9–13	-0.06	21%	22 Dec →
nuke	8–13	-0.04	10%	17 Dec →
ancient	11–13	0.01	6%	16 Dec →
mirage	3–13	-0.08	9%	16 Dec →
mirage	13–10	0.01	5%	13 Dec →
dust2	13–2	0.09	19%	13 Dec →
dust2	11–13	-0.06	4%	26 Nov →
ancient	0–13	-0.05	5%	26 Nov →
ancient	9–13	0.02	15%	26 Nov →
dust2	11–13	-0.03	11%	26 Nov →
overpass	11–13	0.06	17%	25 Nov →
inferno	13–1	-0.00	17%	24 Nov →
dust2	12–12	0.06	21%	23 Nov →
inferno	13–0	0.06	50%	23 Nov →
dust2	7–13	0.07	30%	21 Nov →
mirage	13–6	0.01	16%	21 Nov →
overpass	13–7	0.01	21%	1 Nov →
train	13–5	0.06	25%	19 Oct →
ancient	13–11	0.12	20%	19 Oct →
nuke	8–8	-0.02	16%	11 Oct →
inferno	7–9	0.05	14%	1 Oct →
nuke	6–13	0.03	21%	29 Sept →
ancient	13–8	0.10	22%	28 Sept →
nuke	12–12	0.02	27%	23 Sept →
inferno	1–9	-0.12	22%	21 Sept →
mirage	13–8	0.20	19%	21 Sept →
mirage	13–16	0.03	14%	21 Sept →
train	13–5	0.06	15%	20 Sept →