Widiz — CS2 Stats

76561198071692732[U:1:111427004]Steam profile ↗✓ No bans

589Tracked matches50%Win rate2021Tracked since

CSDB Rating4.4 DevelopingClutch Specialist

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning42

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWLWLLWLLLW

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim4.1

Aggression4.4

Utility5.9

Positioning4.2

Opening Duels1.5

Clutch10.0

Reliable in 1v1s

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 80% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 702ms 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

Aim4.1

Positioning4.2

Utility5.9

Mechanics5.0

Opening Duels1.5

Win Impact5.0

Composite 4.4/10 (Developing), 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+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time700ms−33ms

first ⅓ avg 734ms → last ⅓ avg 700ms

Headshot accuracy15.0%+2.4%

first ⅓ avg 12.6% → last ⅓ avg 15.0%

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

0.08Best rating — mirage 4–1

13–0Biggest win — ancient

6Longest win streak

11–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 71% over 14ancientWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	13–10	57%	-0.03
dust2	B	17	9–8	53%	-0.05
ancient	D	15	4–11	27%	-0.03
anubis	B	15	7–8	47%	-0.03
inferno	S	14	10–4	71%	-0.03
nuke	S	9	6–3	67%	-0.03
overpass	—	3	1–2	33%	-0.04
cache_b	—	2	1–1	50%	-0.01
cache	—	1	0–1	0%	-0.03
vertigo	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

47Matches

45%Win rate

0.70Avg K/D

60.0ADR

36%Headshot %

Clutches & streaks

75%1v1 clutch win

17%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	40%	0.72	12.4
Anubis	9	44%	0.60	9.1
Nuke	7	71%	0.87	15.4
Ancient	7	29%	0.65	10.9
Inferno	6	33%	0.75	9.7
Dust2	3	67%	0.67	10.7
Overpass	2	50%	0.64	9.0
Train	2	50%	0.66	13.0

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.

14.2%Headshot accuracy

33.0%Accuracy (enemy spotted)

32.8%Spray accuracy

72.5%Counter-strafing

10.4°Preaim

702msReaction time

34.3%T opening success

37.4%CT opening success

0.61Enemies flashed / flash

1.8%Flash assists

8.12HE damage / grenade

8.49Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.161% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 702.0751ms — above the 700ms mark we flag
Aim Training →
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 34.3132% — below the 40% mark we flag

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.

27% win rate across 15 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
ancient	13–9	0.04	19%	17 May →
cache	11–13	-0.03	19%	17 May →
mirage	13–11	-0.04	19%	17 May →
ancient	9–13	-0.09	12%	26 Apr →
inferno	2–13	-0.10	15%	26 Apr →
mirage	13–7	-0.04	11%	26 Apr →
anubis	7–13	-0.05	12%	26 Apr →
ancient	10–13	-0.00	18%	19 Apr →
dust2	2–13	-0.05	19%	19 Apr →
inferno	16–14	-0.02	14%	19 Apr →
ancient	8–13	-0.09	10%	12 Apr →
dust2	11–13	-0.10	15%	12 Apr →
mirage	13–8	-0.01	20%	12 Apr →
inferno	9–3	0.04	19%	12 Apr →
anubis	6–13	0.01	14%	3 Apr →
mirage	13–4	-0.03	16%	28 Mar →
inferno	13–3	0.07	13%	28 Mar →
dust2	13–9	0.01	17%	28 Mar →
anubis	14–16	-0.03	10%	28 Mar →
ancient	8–13	-0.03	10%	28 Mar →
nuke	7–13	-0.06	11%	28 Mar →
mirage	4–1	0.08	31%	28 Mar →
inferno	13–11	-0.10	19%	28 Mar →
dust2	13–7	-0.02	19%	28 Mar →
anubis	13–10	0.00	12%	28 Mar →
overpass	11–13	-0.04	6%	27 Mar →
nuke	13–10	-0.03	7%	27 Mar →
mirage	13–8	-0.03	14%	27 Mar →
inferno	10–13	-0.04	13%	27 Mar →
dust2	4–13	-0.10	13%	27 Mar →
ancient	13–9	-0.01	13%	27 Mar →
dust2	4–13	-0.07	11%	23 Mar →
mirage	11–13	-0.03	26%	22 Mar →
nuke	6–13	-0.06	20%	22 Mar →
dust2	5–13	-0.05	16%	22 Mar →
anubis	13–6	0.02	17%	22 Mar →
mirage	5–13	-0.02	15%	22 Mar →
ancient	9–13	-0.01	14%	15 Mar →
mirage	10–13	-0.03	10%	15 Mar →
dust2	13–11	-0.07	28%	15 Mar →
anubis	4–13	-0.06	12%	15 Mar →
dust2	3–13	-0.09	8%	1 Mar →
inferno	1–13	-0.08	7%	1 Mar →
mirage	8–13	-0.04	18%	1 Mar →
nuke	13–11	0.04	9%	1 Mar →
ancient	12–12	-0.08	8%	25 Feb →
ancient	9–13	-0.01	11%	22 Feb →
dust2	9–13	-0.03	11%	22 Feb →
mirage	13–11	-0.02	12%	22 Feb →
anubis	9–13	-0.01	17%	19 Feb →
ancient	10–13	-0.06	7%	19 Feb →
mirage	13–8	-0.01	20%	19 Feb →
dust2	13–4	-0.06	21%	19 Feb →
inferno	13–9	-0.04	10%	16 Feb →
dust2	13–11	-0.07	19%	16 Feb →
nuke	13–6	0.05	7%	16 Feb →
anubis	12–16	-0.07	13%	15 Feb →
ancient	10–13	-0.08	12%	15 Feb →
mirage	13–11	-0.01	16%	15 Feb →
mirage	6–13	-0.05	9%	12 Feb →
nuke	13–9	-0.05	18%	12 Feb →
overpass	8–13	-0.06	14%	9 Feb →
nuke	13–8	-0.04	10%	9 Feb →
overpass	13–6	-0.01	18%	1 Feb →
anubis	16–14	-0.03	12%	1 Feb →
ancient	13–4	0.08	13%	1 Feb →
mirage	13–11	0.07	10%	1 Feb →
inferno	13–10	-0.03	12%	28 Jan →
ancient	10–13	-0.06	8%	28 Jan →
inferno	13–3	-0.01	20%	28 Jan →
anubis	2–13	-0.06	15%	28 Jan →
mirage	10–13	-0.03	19%	28 Jan →
mirage	10–13	-0.07	0%	25 Jan →
dust2	13–5	-0.06	0%	25 Jan →
anubis	19–16	-0.03	0%	25 Jan →
inferno	6–13	-0.06	2%	19 Jan →
dust2	7–13	-0.06	17%	19 Jan →
anubis	4–13	-0.10	29%	19 Jan →
mirage	6–13	-0.02	23%	18 Jan →
ancient	13–0	-0.02	12%	18 Jan →
anubis	13–10	-0.02	20%	18 Jan →
dust2	13–8	-0.01	17%	18 Jan →
dust2	13–11	-0.02	20%	11 Jan →
ancient	4–13	-0.03	19%	11 Jan →
mirage	22–19	-0.05	8%	11 Jan →
anubis	13–3	-0.02	23%	11 Jan →
mirage	2–13	-0.12	6%	3 Jan →
cache_b	11–13	-0.10	9%	3 Jan →
mirage	7–13	-0.09	7%	3 Jan →
nuke	13–10	-0.06	7%	3 Jan →
inferno	16–13	0.00	8%	3 Jan →
vertigo	8–13	-0.07	6%	3 Jan →
inferno	13–4	-0.05	19%	3 Jan →
nuke	7–13	-0.04	12%	3 Jan →
mirage	13–10	-0.05	8%	2 Jan →
cache_b	13–2	0.08	13%	2 Jan →
anubis	13–8	-0.04	13%	2 Jan →
dust2	13–9	0.00	14%	2 Jan →
mirage	13–8	0.02	8%	2 Jan →
inferno	13–10	-0.01	22%	2 Jan →