Anechi — CS2 Stats

FI76561198263712381[U:1:303446653]Steam profile ↗✓ No bans

646Tracked matches50%Win rate2020Tracked since

CSDB Rating3.4 Learning

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim46

Positioning30

Utility18

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLWWLLLWWTW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim4.6

Aggression1.3

Utility1.8

Positioning3.0

Opening Duels0.0

Clutch6.8

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 64% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim4.6

Positioning3.0

Utility1.8

Mechanics4.3

Opening Duels0.0

Win Impact5.0

Composite 3.4/10 (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 time604ms−20ms

first ⅓ avg 624ms → last ⅓ avg 604ms

Headshot accuracy12.2%+0.4%

first ⅓ avg 11.8% → last ⅓ avg 12.2%

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

0.10Best rating — nuke 13–4

13–1Biggest win — mirage

4Longest win streak

12–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 56% over 9ancientWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	11–11	50%	-0.03
dust2	C	16	7–9	44%	-0.06
nuke	C	14	6–8	43%	-0.02
ancient	D	13	3–10	23%	-0.03
cache	C	9	4–5	44%	-0.01
mirage	A	9	5–4	56%	-0.04
poseidon	C	5	2–3	40%	-0.04
debris	—	4	2–2	50%	-0.01
vertigo	—	2	2–0	100%	0.02
train	—	2	1–1	50%	-0.04
eldorado	—	2	1–1	50%	-0.03
sanctum	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

54Matches

50%Win rate

0.80Avg K/D

69.2ADR

37%Headshot %

Clutches & streaks

54%1v1 clutch win

29%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	11	45%	0.70	11.4
Nuke	9	67%	1.05	12.7
Ancient	9	33%	0.76	13.1
Dust2	8	88%	0.67	11.5
Cache	7	43%	0.94	13.9
Mirage	7	29%	0.77	12.1
Anubis	2	50%	0.51	9.0
Train	1	0%	0.80	12.0

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.

12.4%Headshot accuracy

32.0%Accuracy (enemy spotted)

33.9%Spray accuracy

69.3%Counter-strafing

9.9°Preaim

605msReaction time

25.1%T opening success

29.1%CT opening success

0.38Enemies flashed / flash

1.1%Flash assists

6.70HE damage / grenade

0.97Flashes / 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 12.3719% — below the 15% 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 0.3778 — 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 25.1165% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	4–13	-0.02	10%	28 Aug →
inferno	13–10	0.08	15%	28 Aug →
mirage	13–11	-0.08	8%	28 Aug →
debris	7–9	-0.13	9%	28 Aug →
inferno	5–9	-0.07	13%	28 Aug →
nuke	2–9	-0.16	0%	27 Aug →
inferno	9–6	-0.03	12%	27 Aug →
vertigo	9–5	0.01	11%	27 Aug →
inferno	8–8	-0.06	18%	27 Aug →
debris	9–6	0.04	0%	27 Aug →
debris	6–9	-0.04	5%	14 Aug →
inferno	6–9	-0.02	15%	14 Aug →
train	13–11	-0.02	9%	30 Jul →
train	3–13	-0.05	19%	30 Jul →
vertigo	13–9	0.03	14%	30 Jul →
ancient	7–13	-0.07	8%	20 Jul →
dust2	5–13	-0.09	17%	20 Jul →
inferno	13–11	-0.02	13%	16 Jul →
ancient	11–13	-0.08	14%	16 Jul →
poseidon	9–7	0.00	17%	16 Jul →
eldorado	9–0	0.05	14%	16 Jul →
inferno	4–9	-0.09	8%	16 Jul →
debris	9–2	0.07	11%	16 Jul →
eldorado	6–9	-0.11	3%	16 Jul →
dust2	13–9	-0.06	12%	13 Jul →
inferno	9–5	0.04	14%	13 Jul →
cache	13–11	0.03	19%	12 Jul →
nuke	6–13	-0.02	11%	12 Jul →
ancient	6–13	-0.03	17%	22 Jun →
dust2	9–13	-0.05	17%	22 Jun →
nuke	8–13	0.06	6%	5 Jun →
nuke	13–5	0.01	25%	28 May →
nuke	13–9	-0.05	19%	28 May →
dust2	16–12	0.04	13%	25 May →
inferno	7–13	-0.07	20%	25 May →
inferno	7–13	-0.04	11%	24 May →
nuke	13–5	0.01	8%	24 May →
inferno	13–7	-0.04	9%	24 May →
nuke	11–13	-0.02	10%	24 May →
cache	8–13	-0.04	9%	24 May →
nuke	13–5	-0.00	9%	24 May →
dust2	13–8	-0.02	13%	23 May →
ancient	8–13	-0.11	2%	23 May →
inferno	13–7	0.05	15%	22 May →
dust2	17–19	-0.06	6%	22 May →
cache	13–16	-0.02	6%	21 May →
dust2	13–8	-0.13	9%	21 May →
mirage	1–7	-0.05	22%	21 May →
ancient	6–13	0.01	9%	21 May →
poseidon	7–9	-0.07	30%	19 May →
ancient	8–13	-0.07	11%	18 May →
cache	13–16	-0.07	8%	18 May →
dust2	13–2	-0.12	27%	18 May →
inferno	5–13	-0.04	2%	17 May →
mirage	13–8	0.04	12%	17 May →
ancient	13–11	0.03	10%	17 May →
mirage	4–13	-0.04	5%	28 Apr →
ancient	13–9	-0.01	13%	28 Apr →
mirage	6–13	-0.03	11%	28 Apr →
ancient	11–13	-0.01	10%	26 Apr →
cache	13–6	0.00	4%	26 Apr →
dust2	13–11	-0.04	15%	23 Apr →
ancient	5–13	0.01	7%	23 Apr →
cache	13–9	0.03	6%	23 Apr →
nuke	13–4	0.10	15%	23 Apr →
ancient	2–13	-0.04	5%	23 Apr →
dust2	13–9	-0.06	7%	22 Apr →
cache	13–7	-0.03	5%	22 Apr →
dust2	9–13	-0.06	23%	21 Apr →
ancient	16–12	-0.03	10%	21 Apr →
inferno	6–13	-0.06	4%	21 Apr →
inferno	9–3	-0.07	19%	21 Apr →
inferno	9–7	-0.02	25%	21 Apr →
inferno	9–7	-0.08	8%	21 Apr →
poseidon	7–9	0.04	19%	21 Apr →
dust2	7–13	-0.05	8%	20 Apr →
dust2	11–13	-0.04	13%	20 Apr →
mirage	19–17	-0.13	16%	20 Apr →
dust2	1–8	-0.01	4%	19 Apr →
ancient	6–13	-0.04	6%	19 Apr →
mirage	13–8	0.00	5%	19 Apr →
inferno	1–13	-0.08	13%	19 Apr →
mirage	5–13	-0.02	8%	17 Apr →
inferno	13–11	-0.04	7%	15 Apr →
nuke	13–11	-0.06	6%	15 Apr →
mirage	13–1	-0.04	7%	15 Apr →
inferno	9–3	0.02	10%	15 Apr →
sanctum	7–9	0.02	25%	15 Apr →
poseidon	9–4	0.02	10%	15 Apr →
nuke	8–8	0.02	14%	15 Apr →
nuke	13–16	-0.03	11%	12 Apr →
dust2	3–13	-0.04	11%	12 Apr →
nuke	15–15	-0.06	12%	11 Apr →
inferno	11–13	-0.06	24%	11 Apr →
sanctum	9–5	-0.06	7%	11 Apr →
poseidon	2–9	-0.18	23%	11 Apr →
inferno	4–9	-0.04	21%	11 Apr →
dust2	3–13	-0.09	0%	9 Apr →
nuke	8–13	-0.12	9%	9 Apr →
cache	14–16	0.01	5%	2 Apr →