Happy Happy Happy — CS2 Stats

AE76561198312881175[U:1:352615447]Steam profile ↗✓ No bans

1,268Tracked matches47%Win rate2020Tracked since

CSDB Rating5.0 DevelopingHybrid Rifler

FaceitLevel 8 · 1,585 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning52

Utility60

0–100 skill scores via Leetify.

Recent form

HOT47–53Last 10047%Win rateWWWWLWWLWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

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

Aim6.8

Aggression7.2

Utility6.0

Positioning5.2

Opening Duels2.9

Clutch4.0

Strong CT-side openerEffective flashes

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 90% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 69% 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

Aim6.8

Positioning5.2

Utility6.0

Mechanics4.2

Opening Duels2.9

Win Impact3.9

Composite 5.0/10 (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 rating0.01+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.01

Reaction time508ms−31ms

first ⅓ avg 540ms → last ⅓ avg 508ms

Headshot accuracy14.9%−3.1%

first ⅓ avg 18.0% → last ⅓ avg 14.9%

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

0.16Best rating — dust2 13–3

13–2Biggest win — mirage

5Longest win streak

W4Current streak

9–13In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 60% over 25anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	14–17	45%	0.00
mirage	A	25	15–10	60%	0.00
inferno	B	15	8–7	53%	-0.01
ancient	A	12	7–5	58%	0.02
anubis	D	10	2–8	20%	0.02
nuke	D	5	1–4	20%	-0.05
cache	—	2	0–2	0%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,437Matches

49%Win rate

1.02Avg K/D

87.2ADR

43%Headshot %

Clutches & streaks

40%1v1 clutch win

25%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	384	49%	1.04	16.5
Mirage	259	47%	1.02	16.4
Inferno	214	52%	1.10	16.4
Ancient	114	57%	1.18	16.9
Anubis	86	48%	1.06	16.5
Train	61	54%	1.13	17.5
Nuke	41	34%	0.84	15.5
Overpass	18	39%	1.14	17.2

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.

15.2%Headshot accuracy

35.4%Accuracy (enemy spotted)

39.7%Spray accuracy

69.0%Counter-strafing

9.9°Preaim

506msReaction time

32.7%T opening success

50.3%CT opening success

0.75Enemies flashed / flash

6.7%Flash assists

7.49HE damage / grenade

11.30Flashes / 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 32.6505% — 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.

20% win rate across 10 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
ancient	13–7	0.09	17%	30 Aug →
ancient	13–10	0.06	15%	30 Aug →
mirage	13–10	0.05	16%	30 Aug →
anubis	13–7	0.04	17%	30 Aug →
anubis	6–13	-0.03	16%	30 Aug →
mirage	13–2	0.06	17%	29 Aug →
dust2	13–8	0.03	22%	29 Aug →
dust2	11–13	-0.04	14%	29 Aug →
inferno	13–11	-0.02	18%	29 Aug →
dust2	13–9	-0.02	13%	29 Aug →
inferno	6–13	0.01	11%	28 Aug →
mirage	11–13	-0.11	13%	28 Aug →
dust2	13–2	0.03	27%	28 Aug →
mirage	13–4	-0.00	12%	28 Aug →
nuke	1–13	-0.03	9%	27 Aug →
mirage	13–16	0.01	15%	27 Aug →
ancient	13–11	-0.00	20%	27 Aug →
inferno	11–13	-0.03	14%	27 Aug →
mirage	13–7	0.03	14%	27 Aug →
anubis	12–16	-0.01	9%	23 Aug →
anubis	2–13	-0.03	12%	23 Aug →
dust2	10–13	0.05	13%	23 Aug →
dust2	7–13	-0.03	23%	22 Aug →
cache	6–13	-0.01	11%	22 Aug →
ancient	4–13	0.01	11%	22 Aug →
mirage	13–8	-0.01	22%	22 Aug →
dust2	13–7	0.05	23%	22 Aug →
dust2	8–13	0.02	9%	22 Aug →
anubis	6–13	-0.08	12%	22 Aug →
anubis	7–13	0.05	15%	21 Aug →
mirage	6–13	0.10	14%	21 Aug →
inferno	1–13	-0.09	8%	21 Aug →
nuke	13–16	0.03	13%	21 Aug →
nuke	13–3	-0.02	17%	21 Aug →
dust2	14–16	-0.02	21%	20 Aug →
inferno	13–11	0.04	18%	20 Aug →
mirage	13–11	0.09	13%	20 Aug →
dust2	11–13	0.02	20%	18 Aug →
dust2	13–3	0.16	12%	18 Aug →
anubis	10–13	0.01	19%	18 Aug →
anubis	9–13	0.00	15%	17 Aug →
mirage	11–13	-0.02	23%	16 Aug →
ancient	13–9	0.00	19%	16 Aug →
mirage	13–9	-0.05	8%	16 Aug →
ancient	10–13	-0.04	30%	16 Aug →
ancient	13–9	0.04	13%	16 Aug →
mirage	13–7	-0.02	16%	16 Aug →
mirage	9–13	-0.04	21%	16 Aug →
mirage	16–14	-0.03	16%	15 Aug →
anubis	13–3	0.14	10%	15 Aug →
dust2	6–13	0.02	17%	15 Aug →
mirage	13–10	0.03	11%	15 Aug →
ancient	9–13	-0.04	3%	15 Aug →
mirage	16–13	0.04	18%	15 Aug →
ancient	13–3	0.06	19%	14 Aug →
mirage	13–10	0.00	22%	14 Aug →
mirage	13–6	0.01	18%	14 Aug →
ancient	13–7	0.09	10%	13 Aug →
dust2	10–13	-0.06	12%	13 Aug →
dust2	17–19	-0.07	16%	13 Aug →
inferno	11–13	-0.00	12%	12 Aug →
mirage	13–8	0.03	12%	9 Aug →
ancient	8–13	0.02	13%	9 Aug →
dust2	13–11	-0.04	14%	9 Aug →
inferno	13–8	0.01	8%	9 Aug →
dust2	13–3	0.10	16%	8 Aug →
dust2	13–7	-0.05	20%	8 Aug →
dust2	8–13	-0.02	14%	8 Aug →
mirage	11–13	0.04	16%	7 Aug →
mirage	5–13	-0.03	40%	6 Aug →
inferno	13–8	0.01	9%	6 Aug →
nuke	4–13	-0.10	18%	4 Aug →
mirage	6–13	-0.03	26%	2 Aug →
dust2	11–13	0.05	17%	2 Aug →
inferno	13–11	0.01	22%	1 Aug →
dust2	13–10	0.02	28%	1 Aug →
inferno	13–2	-0.01	23%	30 Jul →
dust2	13–11	-0.07	19%	29 Jul →
dust2	6–13	-0.05	7%	28 Jul →
nuke	4–13	-0.10	11%	28 Jul →
mirage	6–13	-0.06	20%	28 Jul →
inferno	2–13	-0.04	8%	18 Jul →
anubis	11–13	0.07	15%	18 Jul →
dust2	17–19	-0.00	17%	17 Jul →
inferno	13–6	-0.02	15%	17 Jul →
mirage	13–4	-0.00	16%	17 Jul →
inferno	16–19	0.02	13%	17 Jul →
dust2	7–13	-0.00	24%	16 Jul →
cache	6–13	-0.06	9%	16 Jul →
dust2	9–13	-0.03	13%	15 Jul →
ancient	0–13	-0.07	6%	15 Jul →
dust2	13–7	0.06	37%	15 Jul →
dust2	13–11	0.02	23%	14 Jul →
inferno	13–9	-0.04	17%	14 Jul →
dust2	19–16	-0.04	17%	14 Jul →
inferno	10–13	-0.04	19%	13 Jul →
dust2	13–10	0.01	22%	13 Jul →
dust2	11–13	0.03	13%	12 Jul →
dust2	1–8	-0.06	25%	12 Jul →
mirage	7–13	-0.01	21%	12 Jul →