Wifey — CS2 Stats

76561198877089092[U:1:916823364]Steam profile ↗✓ No bans

157Tracked matches43%Win rate2024Tracked since

CSDB Rating4.5 Developing

Premier CS Rating10,396Blue band · top ~52.8% of ranked players (population est.)

CSDB Leaderboard#40485 of 56979 tracked

FaceitLevel 5 · 1,175 ELOTop 67.6% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning44

Utility42

0–100 skill scores via Leetify.

Recent form

COLD43–52–5Last 10043%Win rateLLLLWLLLLW

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Aim5.6

Aggression6.0

Utility4.2

Positioning4.4

Opening Duels1.7

Clutch6.2

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 83% playstyle similarity

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

Where you differ: lower utility contribution; 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. 752ms 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

Aim5.6

Positioning4.4

Utility4.2

Mechanics7.5

Opening Duels1.7

Win Impact2.8

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time744ms+17ms

first ⅓ avg 726ms → last ⅓ avg 744ms

Headshot accuracy31.0%+9.6%

first ⅓ avg 21.5% → last ⅓ avg 31.0%

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

0.15Best rating — mirage 4–1

13–2Biggest win — nuke

4Longest win streak

L4Current streak

3–14In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 55% over 11infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	37	14–23	38%	-0.01
mirage	C	23	9–14	39%	-0.01
dust2	A	11	6–5	55%	0.01
ancient	B	8	4–4	50%	-0.00
inferno	D	6	1–5	17%	-0.01
anubis	—	4	2–2	50%	-0.02
vertigo	—	4	2–2	50%	-0.02
train	—	4	4–0	100%	-0.03
overpass	—	3	1–2	33%	-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

101Matches

51%Win rate

0.91Avg K/D

69.5ADR

50%Headshot %

Clutches & streaks

51%1v1 clutch win

24%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	22	59%	0.91	13.6
Nuke	19	53%	0.90	15.2
Ancient	15	53%	1.14	15.1
Dust2	11	45%	0.96	12.8
Inferno	10	10%	0.59	9.8
Anubis	10	60%	0.74	11.7
Vertigo	7	57%	1.08	13.6
Train	6	67%	0.97	16.7

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.

28.1%Headshot accuracy

30.5%Accuracy (enemy spotted)

28.3%Spray accuracy

83.8%Counter-strafing

10.4°Preaim

752msReaction time

37.4%T opening success

36.5%CT opening success

0.44Enemies flashed / flash

6.0%Flash assists

8.36HE damage / grenade

12.40Flashes / 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 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 752.3058ms — above the 700ms 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 0.4404 — 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 37.3865% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	14–16	-0.07	15%	12 Feb →
nuke	8–13	-0.00	17%	11 Feb →
ancient	6–13	-0.07	21%	11 Feb →
mirage	6–13	-0.01	25%	11 Feb →
dust2	13–11	-0.03	34%	11 Feb →
inferno	11–13	-0.03	26%	10 Feb →
mirage	8–13	-0.06	25%	10 Feb →
mirage	6–13	-0.03	15%	9 Feb →
nuke	6–13	-0.06	24%	9 Feb →
dust2	13–11	-0.01	13%	5 Feb →
mirage	5–13	-0.01	16%	5 Feb →
dust2	6–13	0.01	25%	4 Feb →
dust2	7–13	-0.02	50%	2 Feb →
anubis	13–6	0.08	28%	2 Feb →
mirage	13–9	-0.07	31%	2 Feb →
dust2	3–13	-0.01	35%	2 Feb →
mirage	13–6	-0.02	26%	1 Feb →
mirage	13–7	-0.04	32%	1 Feb →
dust2	9–13	0.06	41%	1 Feb →
nuke	13–10	0.02	34%	31 Jan →
mirage	8–13	0.06	14%	31 Jan →
nuke	6–13	-0.07	33%	29 Jan →
mirage	13–10	-0.01	29%	29 Jan →
mirage	4–1	0.15	100%	29 Jan →
nuke	13–8	-0.02	28%	29 Jan →
dust2	13–10	0.00	29%	28 Jan →
mirage	10–13	-0.01	52%	28 Jan →
ancient	13–6	0.00	16%	28 Jan →
nuke	13–11	0.00	29%	28 Jan →
nuke	10–13	0.04	36%	28 Jan →
ancient	13–5	0.07	46%	28 Jan →
dust2	13–7	0.13	43%	28 Jan →
mirage	5–13	-0.06	36%	28 Jan →
mirage	2–13	0.03	33%	27 Jan →
nuke	15–15	-0.01	47%	27 Jan →
inferno	13–8	0.00	28%	27 Jan →
nuke	10–13	-0.03	29%	27 Jan →
nuke	13–6	0.00	25%	27 Jan →
mirage	13–10	-0.01	26%	26 Jan →
mirage	5–13	-0.06	47%	26 Jan →
nuke	8–0	-0.07	33%	26 Jan →
ancient	14–16	-0.06	18%	26 Jan →
mirage	13–7	0.01	23%	26 Jan →
inferno	8–13	-0.02	10%	26 Jan →
mirage	4–13	-0.04	21%	26 Jan →
anubis	13–7	-0.04	13%	26 Jan →
nuke	20–22	-0.01	18%	25 Jan →
nuke	9–6	0.00	12%	23 Jan →
nuke	13–5	-0.01	30%	22 Jan →
vertigo	11–3	0.02	40%	22 Jan →
nuke	10–13	-0.04	35%	22 Jan →
mirage	6–13	-0.00	28%	21 Jan →
vertigo	13–10	0.00	21%	21 Jan →
anubis	5–13	-0.02	36%	21 Jan →
nuke	14–16	-0.02	22%	21 Jan →
nuke	13–8	0.06	19%	20 Jan →
mirage	13–9	-0.02	11%	20 Jan →
inferno	6–13	-0.04	14%	20 Jan →
mirage	13–7	0.01	9%	20 Jan →
nuke	7–13	0.04	13%	16 Jan →
dust2	13–3	-0.03	14%	15 Jan →
mirage	16–19	-0.01	18%	15 Jan →
nuke	5–13	-0.00	17%	14 Jan →
nuke	15–15	0.04	22%	14 Jan →
ancient	14–16	0.04	25%	14 Jan →
train	16–13	-0.02	11%	14 Jan →
nuke	13–9	-0.02	14%	7 Jan →
nuke	8–13	-0.05	30%	7 Jan →
ancient	8–13	-0.00	25%	7 Jan →
inferno	14–16	0.03	14%	6 Jan →
train	13–6	-0.05	11%	6 Jan →
dust2	16–12	0.08	33%	6 Jan →
dust2	9–10	-0.02	19%	6 Jan →
nuke	19–16	-0.04	20%	5 Jan →
train	13–4	-0.02	23%	5 Jan →
ancient	13–4	0.03	25%	16 Nov →
train	13–7	-0.04	20%	13 Nov →
nuke	4–13	-0.00	20%	22 Jan →
nuke	5–7	0.03	0%	13 Dec →
mirage	11–13	-0.05	21%	10 Dec →
nuke	9–13	0.02	17%	10 Dec →
nuke	9–13	-0.03	22%	5 Apr →
nuke	13–6	-0.01	17%	5 Apr →
overpass	11–13	-0.02	8%	31 Mar →
vertigo	2–12	-0.03	18%	31 Mar →
inferno	1–7	-0.01	28%	31 Mar →
mirage	15–15	-0.02	29%	31 Mar →
ancient	13–8	-0.03	23%	26 Mar →
nuke	11–13	0.00	14%	26 Mar →
nuke	13–8	0.02	13%	26 Mar →
nuke	12–12	-0.01	14%	22 Mar →
nuke	13–5	-0.04	40%	21 Mar →
nuke	11–13	-0.07	14%	20 Mar →
nuke	3–13	-0.07	32%	17 Mar →
nuke	11–13	0.01	31%	17 Mar →
nuke	10–13	-0.05	22%	17 Mar →
anubis	2–13	-0.09	17%	15 Mar →
overpass	13–7	0.07	14%	15 Mar →
nuke	13–2	-0.02	42%	15 Mar →
vertigo	12–12	-0.07	32%	15 Mar →