wingie — CS2 Stats

IE76561197963640962[U:1:3375234]Steam profile ↗

2,351Tracked matches57%Win rate2020Tracked since

CSDB Rating6.5 SolidAggressive Rifler

FaceitLevel 10 · 2,050 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning63

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateLLWLLWLWWW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.8

Aggression8.1

Utility5.9

Positioning6.3

Opening Duels3.2

Clutch3.4

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 b1t 94% playstyle similarity

Most alike: positioning profile, 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 53% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim7.8

Positioning6.3

Utility5.9

Mechanics6.4

Opening Duels3.2

Win Impact7.2

Composite 6.5/10 (Solid), 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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time584ms−38ms

first ⅓ avg 623ms → last ⅓ avg 584ms

Headshot accuracy18.8%−2.9%

first ⅓ avg 21.7% → 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

0.21Best rating — vertigo 13–1

13–0Biggest win — cache

5Longest win streak

L2Current streak

7–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 69% over 16overpassWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	25	15–10	60%	-0.01
dust2	B	19	9–10	47%	-0.02
nuke	S	16	11–5	69%	0.00
ancient	B	13	7–6	54%	0.01
cache	A	12	7–5	58%	-0.02
overpass	D	6	1–5	17%	-0.01
mirage	—	4	2–2	50%	0.00
anubis	—	3	2–1	67%	-0.02
vertigo	—	2	1–1	50%	0.14

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,974Matches

50%Win rate

0.90Avg K/D

75.3ADR

45%Headshot %

Clutches & streaks

37%1v1 clutch win

16%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	157	54%	1.00	15.1
Dust2	153	45%	0.92	15.4
Nuke	150	63%	1.04	14.9
Anubis	132	55%	0.89	14.5
Mirage	105	41%	0.88	14.7
Ancient	104	42%	0.89	14.9
Overpass	75	49%	0.98	15.2
Train	36	53%	1.05	16.9

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.

18.8%Headshot accuracy

39.9%Accuracy (enemy spotted)

42.4%Spray accuracy

78.9%Counter-strafing

10.8°Preaim

583msReaction time

33.2%T opening success

52.8%CT opening success

0.47Enemies flashed / flash

6.3%Flash assists

10.22HE damage / grenade

13.52Flashes / 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 0.4739 — 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 33.235% — below the 40% mark we flag

Spend your practice time on Overpass

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	15–19	0.00	21%	26 Aug →
vertigo	11–13	0.07	29%	25 Aug →
inferno	13–7	-0.04	20%	25 Aug →
dust2	8–13	-0.05	12%	25 Aug →
ancient	13–16	0.03	14%	25 Aug →
dust2	19–15	-0.02	23%	20 Aug →
anubis	6–13	-0.04	18%	20 Aug →
inferno	13–2	0.03	7%	20 Aug →
nuke	13–1	0.14	26%	19 Aug →
ancient	13–11	-0.07	15%	17 Aug →
nuke	9–13	0.04	32%	17 Aug →
cache	16–13	-0.06	15%	14 Aug →
nuke	13–4	-0.00	29%	14 Aug →
cache	16–12	-0.03	15%	14 Aug →
vertigo	13–1	0.21	35%	14 Aug →
mirage	13–11	0.01	14%	13 Aug →
dust2	11–13	-0.06	14%	13 Aug →
ancient	13–7	0.06	7%	13 Aug →
ancient	10–13	0.01	14%	5 Aug →
dust2	11–13	-0.06	11%	5 Aug →
nuke	13–2	0.01	23%	5 Aug →
ancient	6–13	0.03	14%	31 Jul →
cache	5–13	-0.04	19%	31 Jul →
dust2	25–21	-0.01	26%	29 Jul →
cache	13–16	-0.05	19%	29 Jul →
ancient	13–3	0.03	20%	29 Jul →
mirage	13–4	0.03	17%	28 Jul →
ancient	11–13	0.00	16%	28 Jul →
cache	13–7	0.00	24%	28 Jul →
inferno	13–9	0.02	15%	23 Jul →
inferno	13–11	0.07	24%	23 Jul →
dust2	13–5	-0.03	14%	23 Jul →
nuke	11–0	0.07	15%	21 Jul →
inferno	8–13	-0.01	13%	21 Jul →
cache	13–9	-0.03	35%	16 Jul →
ancient	13–9	-0.01	15%	16 Jul →
nuke	3–13	-0.03	29%	16 Jul →
ancient	13–8	0.04	32%	13 Jul →
inferno	14–16	-0.04	19%	13 Jul →
inferno	9–13	-0.06	12%	11 Jul →
anubis	13–8	-0.03	19%	11 Jul →
ancient	8–13	-0.02	16%	11 Jul →
anubis	13–11	-0.00	24%	11 Jul →
inferno	13–7	-0.02	7%	11 Jul →
dust2	10–13	0.00	8%	10 Jul →
nuke	13–4	-0.03	13%	10 Jul →
cache	7–13	-0.02	16%	9 Jul →
dust2	13–5	0.01	19%	9 Jul →
inferno	5–13	-0.04	16%	9 Jul →
dust2	8–13	-0.01	24%	8 Jul →
inferno	13–3	-0.06	18%	8 Jul →
inferno	13–7	0.04	19%	8 Jul →
dust2	13–9	0.02	34%	8 Jul →
cache	5–13	0.02	20%	7 Jul →
nuke	13–8	-0.04	20%	7 Jul →
cache	13–1	0.01	22%	7 Jul →
cache	13–8	-0.02	32%	2 Jul →
ancient	13–11	0.00	18%	1 Jul →
inferno	11–13	-0.06	12%	1 Jul →
inferno	13–7	-0.00	21%	29 Jun →
dust2	14–16	-0.08	19%	29 Jun →
overpass	7–13	-0.03	7%	29 Jun →
nuke	16–13	0.03	23%	29 Jun →
dust2	25–21	-0.03	18%	28 Jun →
nuke	13–16	-0.01	23%	28 Jun →
inferno	13–6	-0.06	3%	28 Jun →
nuke	13–6	0.01	23%	15 Jun →
dust2	9–13	0.03	26%	15 Jun →
inferno	11–13	-0.03	26%	13 Jun →
nuke	13–9	0.12	26%	13 Jun →
nuke	13–11	-0.05	20%	13 Jun →
inferno	13–11	-0.02	17%	13 Jun →
dust2	13–5	0.01	23%	12 Jun →
inferno	9–13	0.02	16%	12 Jun →
inferno	13–9	-0.03	18%	12 Jun →
dust2	6–13	0.01	22%	12 Jun →
inferno	16–13	-0.02	28%	11 Jun →
dust2	13–6	-0.01	25%	11 Jun →
dust2	8–13	0.02	37%	11 Jun →
overpass	10–13	0.01	34%	9 Jun →
cache	13–0	0.04	18%	7 Jun →
mirage	3–13	0.02	13%	3 Jun →
inferno	13–9	0.03	13%	3 Jun →
inferno	13–10	0.03	19%	2 Jun →
overpass	13–9	0.02	19%	2 Jun →
ancient	10–13	-0.00	18%	1 Jun →
ancient	13–7	-0.00	23%	1 Jun →
overpass	7–13	-0.06	32%	1 Jun →
inferno	11–13	-0.07	23%	27 May →
overpass	8–13	-0.04	13%	26 May →
inferno	13–3	0.13	11%	26 May →
nuke	19–16	-0.05	16%	25 May →
nuke	4–13	-0.09	20%	24 May →
dust2	10–13	-0.05	24%	23 May →
inferno	7–13	0.02	16%	23 May →
overpass	5–13	0.05	33%	23 May →
nuke	11–13	-0.05	28%	8 May →
mirage	6–13	-0.04	17%	8 May →
cache	3–13	-0.07	19%	7 May →
dust2	13–10	-0.01	23%	7 May →