Eagle — CS2 Stats

76561199224111828[U:1:1263846100]✓ No bans

285Tracked matches75%Win rate2022Tracked since

586Hours in CS

CSDB Rating7.8 StrongEntry Fragger

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim89

Positioning77

Utility51

0–100 skill scores via Leetify.

Recent form

HOT63–30–7Last 10063%Win rateWLWWWWWWLL

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.9

Aggression10.0

Utility5.1

Positioning7.7

Opening Duels6.5

Clutch1.2

Sharp aimerStrong 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 s1mple 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 67% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim8.9

Positioning7.7

Utility5.1

Mechanics7.7

Opening Duels6.5

Win Impact10.0

Composite 7.8/10 (Strong), 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 rating0.11+0.06

first ⅓ avg 0.05 → last ⅓ avg 0.11

Reaction time562ms−12ms

first ⅓ avg 574ms → last ⅓ avg 562ms

Headshot accuracy29.9%−0.1%

first ⅓ avg 30.0% → last ⅓ avg 29.9%

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

0.26Best rating — ancient 13–5

13–0Biggest win — mirage

6Longest win streak

3–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 86% over 14nukeWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	21	17–4	81%	0.10
dust2	B	14	7–7	50%	0.04
inferno	S	14	12–2	86%	0.08
ancient	A	10	6–4	60%	0.11
nuke	D	9	3–6	33%	0.05
cache	C	9	4–5	44%	0.07
anubis	S	8	6–2	75%	0.05
train	A	5	3–2	60%	0.02
vertigo	—	3	0–3	0%	0.02
overpass	—	3	2–1	67%	0.07
office	—	1	0–1	0%	-0.07
warden	—	1	1–0	100%	0.06
alpine	—	1	1–0	100%	0.08
italy	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,244Lifetime kills

1.43K/D · Top 10% of tracked players

770Matches

51.7%Match win rate · Top 25% of tracked players

58.4%Headshot % · Top 10% of tracked players

9.4%Shot accuracy

4,190MVPs

586Hours (in match)

249Bombs planted

496Bombs defused

Most-used weapons

AK-479,659

AWP4,663

M4A4 / M4A1-S3,000

Desert Eagle2,790

P2000 / USP-S1,496

Glock-18871

Knife308

SG 553269

SSG 08264

Galil AR257

Lifetime map wins

1,478dust2

1,355nuke

1,235inferno

1,019vertigo

493train

69cbble

58office

14italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

130Matches

63%Win rate

1.43Avg K/D

93.2ADR

50%Headshot %

Clutches & streaks

26%1v1 clutch win

38%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	30	63%	1.44	20.1
Dust2	17	59%	1.44	19.6
Nuke	17	71%	1.41	18.9
Anubis	15	67%	1.53	22.6
Inferno	10	40%	1.12	19.2
Ancient	8	62%	1.62	19.9
Overpass	3	100%	1.27	20.7
Cache	1	0%	0.78	14.0

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.

30.4%Headshot accuracy

38.2%Accuracy (enemy spotted)

36.4%Spray accuracy

84.8%Counter-strafing

9.7°Preaim

562msReaction time

45.2%T opening success

66.6%CT opening success

0.47Enemies flashed / flash

12.4%Flash assists

6.73HE damage / grenade

7.36Flashes / 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 0.4685 — 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.

33% win rate across 9 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
anubis	13–2	0.19	40%	12 Jul →
nuke	10–13	0.01	37%	12 Jul →
dust2	13–3	0.05	24%	12 Jul →
mirage	13–5	0.11	23%	12 Jul →
mirage	13–0	0.13	37%	12 Jul →
inferno	13–10	0.13	41%	10 Jul →
ancient	13–7	0.14	35%	10 Jul →
mirage	13–0	0.08	35%	10 Jul →
mirage	8–13	0.10	36%	9 Jul →
cache	6–13	0.09	32%	9 Jul →
ancient	14–16	0.13	30%	9 Jul →
nuke	13–8	0.15	32%	9 Jul →
nuke	12–12	0.20	26%	10 Jun →
inferno	13–8	-0.02	32%	10 Jun →
dust2	13–5	0.10	30%	29 May →
nuke	4–13	0.03	40%	20 May →
cache	9–13	0.14	31%	4 May →
ancient	13–5	0.26	26%	4 May →
mirage	13–3	0.22	32%	4 May →
mirage	13–1	0.22	33%	3 May →
mirage	13–2	0.23	36%	3 May →
inferno	9–2	0.08	25%	3 May →
inferno	12–12	0.07	24%	3 May →
train	7–13	-0.06	11%	3 May →
nuke	13–4	0.06	33%	3 May →
mirage	13–0	0.09	41%	3 May →
ancient	13–1	0.08	27%	3 May →
mirage	13–11	0.08	24%	3 May →
ancient	13–2	0.05	30%	3 May →
ancient	13–8	0.18	20%	3 May →
cache	1–13	-0.06	15%	3 May →
dust2	12–12	0.03	25%	3 May →
inferno	13–3	0.21	23%	3 May →
cache	5–13	0.02	34%	30 Apr →
cache	13–4	0.10	31%	30 Apr →
cache	12–12	0.02	25%	29 Apr →
cache	13–4	0.12	30%	29 Apr →
cache	13–3	0.13	33%	29 Apr →
cache	13–4	0.07	31%	29 Apr →
mirage	13–9	0.04	17%	28 Apr →
dust2	13–4	0.04	31%	28 Apr →
office	7–13	-0.07	24%	28 Apr →
anubis	13–2	0.05	33%	28 Apr →
mirage	13–1	0.01	28%	28 Apr →
mirage	13–6	0.02	23%	28 Apr →
warden	13–4	0.06	24%	27 Apr →
inferno	13–10	0.16	25%	27 Apr →
mirage	13–8	0.08	27%	27 Apr →
vertigo	3–13	0.00	35%	27 Apr →
nuke	13–8	0.06	41%	24 Apr →
nuke	7–13	-0.05	18%	23 Apr →
train	13–9	0.05	25%	22 Apr →
dust2	11–13	0.02	36%	22 Apr →
train	13–0	0.04	44%	22 Apr →
inferno	13–6	0.18	19%	20 Apr →
overpass	14–16	0.05	24%	20 Apr →
alpine	13–7	0.08	17%	17 Apr →
mirage	6–2	0.02	36%	17 Apr →
nuke	5–13	-0.10	0%	16 Apr →
anubis	19–17	0.02	31%	15 Apr →
overpass	13–6	0.09	23%	14 Apr →
mirage	11–13	0.12	33%	14 Apr →
italy	13–0	0.06	48%	14 Apr →
train	13–2	0.06	45%	13 Apr →
ancient	14–16	0.10	42%	12 Apr →
inferno	16–12	0.02	18%	12 Apr →
mirage	13–3	0.05	19%	12 Apr →
mirage	10–13	-0.02	26%	12 Apr →
dust2	9–13	-0.00	27%	12 Apr →
ancient	9–13	-0.01	24%	12 Apr →
dust2	13–7	0.00	29%	12 Apr →
inferno	13–10	-0.00	27%	11 Apr →
mirage	13–5	0.16	51%	11 Apr →
anubis	5–13	0.03	36%	11 Apr →
inferno	9–4	0.17	48%	11 Apr →
inferno	9–7	0.03	26%	11 Apr →
dust2	10–13	0.00	41%	11 Apr →
dust2	7–13	-0.01	21%	11 Apr →
inferno	13–6	0.00	15%	11 Apr →
anubis	13–6	0.01	15%	11 Apr →
ancient	13–6	0.11	20%	10 Apr →
mirage	13–2	0.18	36%	10 Apr →
ancient	11–13	0.02	25%	8 Apr →
inferno	13–9	0.01	21%	8 Apr →
vertigo	12–12	0.10	13%	8 Apr →
dust2	15–15	0.03	32%	8 Apr →
nuke	14–16	0.08	20%	8 Apr →
vertigo	12–12	-0.04	39%	8 Apr →
mirage	13–10	0.13	42%	8 Apr →
anubis	13–7	0.03	23%	7 Apr →
overpass	13–7	0.07	30%	6 Apr →
dust2	13–5	0.13	34%	6 Apr →
mirage	4–13	0.04	43%	6 Apr →
anubis	5–13	-0.02	33%	6 Apr →
dust2	13–16	0.03	35%	1 Apr →
dust2	13–4	0.09	30%	25 Mar →
train	3–13	-0.00	25%	25 Mar →
inferno	4–13	0.03	37%	25 Mar →
anubis	13–10	0.09	22%	25 Mar →
dust2	13–8	0.10	42%	24 Mar →

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Match data via Leetify.

Recent teammates

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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