HappyEagle4 — CS2 Stats

76561199404542848[U:1:1444277120]Steam profile ↗

344Tracked matches27%Win rate2024Tracked since

CSDB Rating3.2 Learning

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim33

Positioning44

Utility26

0–100 skill scores via Leetify.

Recent form

COLD39–54–7Last 10039%Win rateLLLLLLLLTL

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

Aim3.3

Aggression3.9

Utility2.6

Positioning4.4

Opening Duels0.9

Clutch0.0

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 73% 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. 717ms 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

Aim3.3

Positioning4.4

Utility2.6

Mechanics5.7

Opening Duels1.1

Win Impact0.0

Composite 3.2/10 (Learning), 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 time723ms−43ms

first ⅓ avg 767ms → last ⅓ avg 723ms

Headshot accuracy15.3%−1.0%

first ⅓ avg 16.3% → last ⅓ avg 15.3%

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

0.07Best rating — nuke 11–13

11–0Biggest win — dust2

5Longest win streak

L8Current streak

5–6In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 57% over 7nukeWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	31	13–18	42%	-0.03
mirage	C	23	9–14	39%	-0.04
nuke	D	14	4–10	29%	-0.03
inferno	C	14	6–8	43%	-0.06
ancient	A	7	4–3	57%	-0.01
anubis	D	6	2–4	33%	-0.05
overpass	—	2	1–1	50%	0.00
cache	—	1	0–1	0%	-0.05
vertigo	—	1	0–1	0%	-0.01
train	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches

0%Win rate

0.49Avg K/D

49.0ADR

29%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	0%	0.53	10.0
Ancient	1	0%	0.33	5.0
Dust2	1	0%	0.61	11.0

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.

15.9%Headshot accuracy

32.6%Accuracy (enemy spotted)

31.1%Spray accuracy

75.5%Counter-strafing

13.0°Preaim

717msReaction time

29.1%T opening success

38.5%CT opening success

0.44Enemies flashed / flash

2.2%Flash assists

2.43HE damage / grenade

3.83Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.0412° — above the 12° 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 716.6205ms — 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 0.4417 — below the 0.5 mark we flag
Grenade Lineups →

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.

29% win rate across 14 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
dust2	4–13	-0.07	22%	28 Aug →
nuke	9–13	-0.12	9%	28 Jul →
mirage	4–13	-0.12	8%	28 Jul →
mirage	4–13	-0.10	8%	27 Jul →
dust2	5–13	-0.05	11%	27 Jul →
dust2	5–13	-0.03	7%	28 Jun →
anubis	3–13	-0.08	15%	28 Jun →
dust2	9–13	0.06	12%	28 Jun →
mirage	12–12	-0.10	13%	27 Jun →
nuke	5–13	0.01	19%	27 Jun →
cache	9–13	-0.05	30%	27 Jun →
nuke	11–13	0.01	16%	27 Jun →
mirage	12–12	-0.06	14%	21 Jun →
dust2	7–13	0.02	36%	21 Jun →
mirage	3–13	0.02	31%	21 Jun →
dust2	13–9	0.04	17%	21 Jun →
dust2	9–13	-0.04	8%	21 Jun →
overpass	13–5	0.01	12%	17 Jun →
vertigo	5–13	-0.01	17%	17 Jun →
mirage	13–7	-0.05	27%	8 Jun →
inferno	4–9	-0.09	16%	6 Jun →
nuke	10–13	-0.05	16%	6 Jun →
mirage	13–7	-0.00	11%	6 Jun →
mirage	12–12	-0.03	13%	6 Jun →
dust2	10–13	-0.07	26%	3 Jun →
dust2	13–8	-0.01	13%	3 Jun →
inferno	11–13	-0.08	19%	1 Jun →
mirage	12–12	-0.07	7%	1 Jun →
anubis	0–13	-0.06	0%	1 Jun →
dust2	13–11	0.02	16%	1 Jun →
mirage	13–10	0.04	15%	28 May →
mirage	13–5	-0.01	13%	28 May →
dust2	13–7	0.01	11%	28 May →
dust2	11–13	-0.10	16%	23 May →
mirage	13–7	-0.03	26%	23 May →
nuke	11–13	0.07	23%	23 May →
dust2	13–9	-0.03	16%	23 May →
inferno	13–9	0.03	13%	23 May →
nuke	3–13	-0.11	7%	12 May →
dust2	10–13	-0.07	10%	11 May →
mirage	13–6	0.02	27%	11 May →
dust2	12–12	-0.01	13%	11 May →
inferno	13–3	0.02	15%	11 May →
nuke	13–11	-0.07	18%	10 May →
anubis	10–13	-0.00	17%	10 May →
nuke	13–4	-0.01	16%	9 May →
dust2	13–8	-0.06	11%	9 May →
train	7–13	-0.08	16%	9 May →
dust2	13–8	-0.03	17%	8 May →
dust2	12–12	-0.01	16%	8 May →
ancient	13–7	0.05	15%	8 May →
inferno	13–10	-0.05	22%	27 Apr →
inferno	6–13	-0.10	26%	25 Apr →
inferno	8–13	-0.07	11%	24 Apr →
ancient	13–9	0.05	20%	24 Apr →
dust2	13–9	-0.03	21%	24 Apr →
anubis	13–6	-0.02	24%	24 Apr →
ancient	12–12	-0.08	14%	19 Apr →
ancient	13–11	0.04	7%	19 Apr →
dust2	13–8	-0.01	18%	19 Apr →
dust2	6–13	-0.07	15%	18 Apr →
nuke	11–13	-0.02	27%	18 Apr →
nuke	13–11	-0.03	13%	17 Apr →
inferno	4–13	-0.08	11%	30 Mar →
ancient	10–13	-0.07	21%	19 Mar →
inferno	3–9	-0.15	33%	16 Mar →
overpass	8–13	-0.00	9%	16 Mar →
anubis	13–5	-0.03	3%	12 Mar →
mirage	7–13	-0.02	19%	27 Feb →
ancient	13–10	-0.03	16%	27 Feb →
nuke	5–13	-0.03	14%	21 Feb →
mirage	9–13	-0.09	20%	21 Feb →
dust2	5–13	-0.03	14%	21 Feb →
mirage	2–13	-0.10	17%	13 Feb →
nuke	13–6	-0.04	19%	11 Feb →
dust2	0–13	0.01	20%	11 Feb →
inferno	5–13	-0.07	10%	8 Feb →
dust2	9–13	-0.05	20%	8 Feb →
mirage	9–13	-0.09	10%	8 Feb →
mirage	7–13	-0.03	8%	8 Feb →
mirage	3–13	-0.10	13%	7 Feb →
dust2	13–4	-0.03	18%	7 Feb →
dust2	7–13	-0.11	17%	5 Feb →
nuke	7–13	0.01	24%	4 Feb →
anubis	3–11	-0.08	8%	4 Feb →
dust2	6–13	-0.07	23%	3 Feb →
ancient	2–13	-0.05	12%	3 Feb →
mirage	8–13	-0.00	21%	3 Feb →
mirage	13–5	-0.03	19%	1 Feb →
dust2	11–13	-0.06	11%	1 Feb →
dust2	13–5	-0.04	16%	1 Feb →
dust2	13–7	-0.06	11%	1 Feb →
inferno	13–4	-0.03	15%	1 Feb →
mirage	13–8	-0.04	10%	29 Jan →
mirage	13–11	-0.02	14%	24 Jan →
nuke	9–13	-0.04	30%	23 Jan →
inferno	13–7	-0.04	23%	23 Jan →
inferno	13–10	-0.06	26%	22 Jan →
dust2	11–0	0.02	15%	18 Jan →
inferno	5–13	-0.02	22%	18 Jan →