agr3 — CS2 Stats

AR76561198293230304[U:1:332964576]Steam profile ↗✓ No bans

611Tracked matches52%Win rate2021Tracked since

CSDB Rating4.6 Developing

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim52

Positioning52

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY57–35–8Last 10057%Win rateTLLLWLWWWL

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

Player DNA

Aim5.2

Aggression5.7

Utility4.7

Positioning5.2

Opening Duels1.8

Clutch4.0

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 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. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim5.2

Positioning5.2

Utility4.7

Mechanics3.3

Opening Duels1.8

Win Impact5.7

Composite 4.6/10 (Developing), 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+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time589ms+8ms

first ⅓ avg 581ms → last ⅓ avg 589ms

Headshot accuracy13.4%−1.4%

first ⅓ avg 14.9% → last ⅓ avg 13.4%

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

0.23Best rating — nuke 9–0

13–0Biggest win — anubis

7Longest win streak

6–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

vertigoBest map · 71% over 7infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	36	19–17	53%	0.02
nuke	S	13	9–4	69%	0.06
ancient	S	10	7–3	70%	0.00
vertigo	S	7	5–2	71%	-0.00
dust2	S	7	5–2	71%	0.01
overpass	D	7	2–5	29%	0.04
inferno	D	5	1–4	20%	0.00
anubis	—	4	3–1	75%	-0.02
train	—	4	3–1	75%	0.01
office	—	3	1–2	33%	0.04
cache	—	1	1–0	100%	0.08
poseidon	—	1	1–0	100%	0.10
brewery	—	1	0–1	0%	-0.05
jura	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

143Matches

57%Win rate

1.25Avg K/D

78.6ADR

32%Headshot %

Clutches & streaks

40%1v1 clutch win

30%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	38%	1.38	15.6
Ancient	4	50%	0.70	12.3
Nuke	3	33%	0.92	16.0
Anubis	3	100%	1.07	18.3
Overpass	2	100%	1.30	22.0
Inferno	2	50%	0.89	15.0
Cache	2	50%	1.56	18.0

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.

13.5%Headshot accuracy

34.2%Accuracy (enemy spotted)

39.7%Spray accuracy

64.9%Counter-strafing

10.5°Preaim

581msReaction time

34.8%T opening success

39.5%CT opening success

0.64Enemies flashed / flash

5.6%Flash assists

9.43HE damage / grenade

8.39Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.4528% — below the 15% mark we flag
Aim Training →
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 34.7578% — 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.

20% win rate across 5 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
vertigo	12–12	-0.07	5%	28 Aug →
mirage	6–13	-0.11	12%	28 Aug →
inferno	10–13	-0.10	15%	24 Aug →
vertigo	8–13	-0.07	8%	24 Aug →
vertigo	8–2	-0.01	8%	24 Aug →
inferno	8–13	0.17	5%	15 Aug →
cache	13–5	0.08	14%	15 May →
ancient	13–7	0.01	13%	15 May →
nuke	9–2	0.16	5%	16 Apr →
nuke	7–9	-0.03	19%	16 Apr →
poseidon	9–3	0.10	17%	14 Mar →
mirage	13–9	0.07	18%	14 Mar →
mirage	0–10	-0.03	16%	21 Feb →
anubis	13–10	-0.02	17%	7 Feb →
nuke	12–12	0.04	15%	7 Feb →
mirage	13–6	0.02	8%	7 Feb →
mirage	13–10	0.04	17%	6 Feb →
mirage	10–13	0.07	16%	5 Feb →
dust2	4–13	0.02	17%	5 Feb →
nuke	8–13	0.04	12%	27 Jan →
mirage	13–4	-0.01	21%	26 Jan →
ancient	12–12	-0.03	15%	13 Jan →
overpass	3–13	0.07	5%	25 Dec →
mirage	4–13	-0.04	26%	11 Dec →
mirage	13–6	0.02	11%	12 Nov →
mirage	13–11	0.00	8%	11 Nov →
nuke	15–15	0.00	13%	9 Nov →
inferno	7–13	-0.06	14%	9 Nov →
inferno	8–13	-0.01	18%	9 Nov →
dust2	13–10	-0.02	12%	8 Nov →
inferno	13–1	0.01	5%	8 Nov →
mirage	12–12	0.06	17%	1 Nov →
dust2	13–1	0.10	22%	30 Oct →
mirage	4–7	0.03	8%	30 Oct →
overpass	8–13	0.06	25%	28 Oct →
mirage	13–10	0.10	11%	28 Oct →
vertigo	13–4	-0.01	5%	24 Oct →
vertigo	13–3	0.10	23%	24 Oct →
anubis	9–13	-0.05	13%	17 Oct →
anubis	13–7	-0.01	11%	17 Oct →
office	13–9	0.18	21%	3 Oct →
overpass	11–13	0.02	19%	3 Oct →
mirage	13–6	0.02	8%	3 Oct →
nuke	13–6	-0.02	10%	3 Oct →
overpass	2–13	-0.08	15%	3 Oct →
mirage	13–3	0.07	10%	3 Oct →
nuke	13–4	0.09	17%	3 Oct →
mirage	12–12	0.09	17%	18 Sept →
train	7–13	-0.01	20%	11 Sept →
nuke	9–5	0.07	7%	10 Sept →
mirage	13–10	-0.05	25%	10 Sept →
overpass	11–13	0.08	22%	9 Sept →
dust2	13–8	0.09	20%	8 Sept →
overpass	13–7	0.08	33%	8 Sept →
mirage	13–11	0.00	16%	8 Sept →
train	13–4	0.09	16%	8 Sept →
brewery	7–9	-0.05	14%	6 Sept →
mirage	5–13	-0.07	20%	6 Sept →
dust2	8–13	-0.10	9%	2 Sept →
mirage	12–16	0.02	17%	2 Sept →
nuke	13–7	0.07	6%	21 Aug →
ancient	13–8	0.02	13%	21 Aug →
train	13–10	0.02	10%	21 Aug →
nuke	9–4	0.16	7%	21 Aug →
nuke	9–0	0.23	14%	21 Aug →
mirage	13–3	0.03	18%	21 Aug →
overpass	13–11	0.03	10%	20 Aug →
jura	9–13	0.04	11%	20 Aug →
mirage	13–8	0.03	15%	20 Aug →
mirage	8–13	-0.02	11%	19 Aug →
ancient	10–2	-0.00	10%	18 Aug →
vertigo	13–2	-0.00	18%	18 Aug →
office	12–12	-0.01	19%	18 Aug →
anubis	13–0	0.00	8%	18 Aug →
nuke	13–5	-0.03	16%	18 Aug →
mirage	13–3	0.09	13%	11 Apr →
train	13–7	-0.05	10%	11 Apr →
mirage	13–11	-0.00	12%	11 Apr →
office	6–13	-0.04	24%	4 Apr →
mirage	9–13	-0.06	19%	4 Apr →
mirage	13–6	0.14	17%	1 Apr →
mirage	8–13	0.02	18%	1 Apr →
ancient	11–13	-0.06	10%	26 Jan →
ancient	13–6	-0.02	8%	25 Jan →
ancient	13–8	0.01	10%	25 Jan →
mirage	13–11	0.02	21%	25 Jan →
mirage	12–12	0.05	9%	4 Jan →
ancient	13–9	0.07	19%	2 Jan →
mirage	11–13	0.01	31%	1 Jan →
mirage	13–10	0.05	15%	1 Jan →
mirage	5–13	0.04	16%	1 Jan →
ancient	13–11	-0.01	10%	31 Dec →
nuke	13–7	0.05	20%	25 Dec →
mirage	13–10	0.07	15%	25 Dec →
mirage	11–13	0.03	13%	25 Dec →
vertigo	13–9	0.06	7%	25 Dec →
dust2	13–7	0.00	15%	25 Dec →
mirage	13–16	-0.04	19%	20 Dec →
ancient	11–13	0.03	18%	16 Dec →
dust2	13–6	-0.05	14%	15 Dec →