Sadie Enword — CS2 Stats

US76561198252703162[U:1:292437434]Steam profile ↗

1,673Tracked matches61%Win rate2024Tracked since

1,622Hours in CS25Hrs last 2 wks

CSDB Rating3.5 Learning

Premier CS Rating10,359Blue band · top ~53% of ranked players (population est.)

CSDB Leaderboard#14414 of 19743 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim37

Positioning41

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLLWWWWWLLW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim3.7

Aggression4.3

Utility2.8

Positioning4.1

Opening Duels0.4

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 74% 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

T-side openings. Opening success drops from 41% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim3.7

Positioning4.1

Utility2.8

Mechanics2.4

Opening Duels1.4

Win Impact8.6

Composite 3.5/10 (Learning), 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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time608ms−46ms

first ⅓ avg 654ms → last ⅓ avg 608ms

Headshot accuracy15.1%+2.6%

first ⅓ avg 12.5% → last ⅓ avg 15.1%

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 — ancient 13–10

13–3Biggest win — anubis

9Longest win streak

L2Current streak

14–4In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 69% over 13nukeWeakest map · 31% over 26

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	26	8–18	31%	-0.03
ancient	B	15	8–7	53%	-0.02
office	B	14	7–7	50%	-0.01
cache	S	13	9–4	69%	-0.03
inferno	A	13	8–5	62%	0.01
anubis	A	11	6–5	55%	-0.01
vertigo	—	3	2–1	67%	-0.01
mirage	—	2	1–1	50%	0.01
dust2	—	2	2–0	100%	0.02
train	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 26). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,168Lifetime kills

0.97K/D

2,037Matches

46.1%Match win rate

32.0%Headshot %

2.9%Shot accuracy

3,776MVPs

745Hours (in match)

2,087Bombs planted

439Bombs defused

Most-used weapons

AWP5,551

M4A4 / M4A1-S5,098

AK-475,027

Desert Eagle1,528

SSG 081,378

Dual Berettas1,176

Nova997

MP7980

MP9749

Galil AR613

Lifetime map wins

3,110nuke

2,559dust2

2,009office

1,837inferno

1,233vertigo

1,192train

140italy

28cbble

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

Faceit stats

Combat

1Matches

0%Win rate

0.40Avg K/D

49.9ADR

20%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

14.8%Headshot accuracy

32.2%Accuracy (enemy spotted)

32.7%Spray accuracy

61.0%Counter-strafing

11.4°Preaim

599msReaction time

22.2%T opening success

40.9%CT opening success

0.38Enemies flashed / flash

2.3%Flash assists

8.11HE damage / grenade

1.74Flashes / 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 14.8046% — 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 0.3819 — 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 22.1971% — below the 40% mark we flag

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.

31% win rate across 26 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	9–13	-0.04	21%	28 Aug →
office	11–13	-0.07	11%	25 Aug →
nuke	13–11	-0.07	18%	25 Aug →
cache	16–14	-0.09	12%	25 Aug →
mirage	13–11	-0.03	10%	25 Aug →
inferno	13–11	-0.02	21%	24 Aug →
nuke	13–9	0.04	13%	24 Aug →
anubis	10–13	0.00	14%	24 Aug →
nuke	10–13	-0.02	18%	23 Aug →
ancient	13–7	-0.04	26%	23 Aug →
nuke	15–15	-0.05	14%	23 Aug →
cache	13–11	-0.06	19%	23 Aug →
ancient	13–16	-0.00	17%	23 Aug →
vertigo	13–5	-0.02	14%	22 Aug →
nuke	9–13	0.05	21%	22 Aug →
office	8–13	-0.04	13%	21 Aug →
nuke	9–13	-0.05	11%	21 Aug →
inferno	7–13	-0.06	13%	21 Aug →
office	13–7	0.03	0%	20 Aug →
ancient	6–13	0.01	3%	20 Aug →
inferno	9–13	-0.01	17%	20 Aug →
ancient	13–5	-0.07	10%	20 Aug →
inferno	8–2	-0.02	33%	20 Aug →
nuke	13–5	-0.02	7%	19 Aug →
ancient	15–15	0.01	24%	19 Aug →
anubis	13–8	-0.04	14%	19 Aug →
dust2	13–5	-0.00	9%	19 Aug →
office	13–9	-0.01	17%	18 Aug →
anubis	13–8	-0.01	14%	18 Aug →
nuke	13–6	0.04	11%	18 Aug →
cache	13–11	0.05	17%	17 Aug →
office	13–7	0.06	16%	17 Aug →
anubis	13–11	0.03	22%	17 Aug →
nuke	13–5	0.03	10%	17 Aug →
ancient	3–13	-0.13	4%	16 Aug →
mirage	9–13	0.04	19%	15 Aug →
cache	13–7	0.01	18%	15 Aug →
office	13–8	0.03	13%	14 Aug →
nuke	2–13	-0.07	5%	14 Aug →
cache	7–13	-0.08	14%	14 Aug →
nuke	7–13	-0.00	28%	14 Aug →
inferno	13–6	0.00	6%	14 Aug →
inferno	8–8	-0.00	26%	14 Aug →
nuke	12–12	0.02	14%	12 Aug →
office	6–4	0.05	4%	12 Aug →
office	3–13	-0.04	6%	9 Aug →
inferno	13–7	0.01	3%	8 Aug →
cache	2–2	-0.09	0%	8 Aug →
anubis	13–11	0.01	9%	8 Aug →
nuke	13–5	-0.05	7%	8 Aug →
office	8–13	-0.00	19%	8 Aug →
inferno	7–13	0.04	5%	8 Aug →
office	13–11	0.02	18%	6 Aug →
ancient	8–13	-0.03	21%	6 Aug →
nuke	10–13	-0.06	19%	6 Aug →
cache	7–13	-0.09	17%	5 Aug →
nuke	16–12	-0.00	21%	5 Aug →
nuke	15–15	-0.07	12%	5 Aug →
ancient	11–13	-0.02	14%	5 Aug →
anubis	9–13	-0.05	12%	5 Aug →
train	2–13	-0.09	0%	4 Aug →
dust2	13–5	0.04	10%	4 Aug →
vertigo	7–13	-0.02	17%	4 Aug →
nuke	14–16	-0.07	10%	3 Aug →
nuke	9–13	-0.05	7%	3 Aug →
anubis	10–13	-0.08	16%	2 Aug →
ancient	13–8	-0.03	3%	2 Aug →
inferno	13–6	0.05	14%	2 Aug →
ancient	13–6	-0.01	11%	2 Aug →
nuke	9–13	-0.09	10%	1 Aug →
nuke	11–13	0.01	11%	1 Aug →
office	9–13	-0.02	22%	1 Aug →
vertigo	13–6	-0.00	11%	1 Aug →
cache	6–13	-0.08	8%	1 Aug →
nuke	15–15	-0.05	5%	1 Aug →
nuke	6–13	-0.00	14%	1 Aug →
nuke	13–11	-0.02	8%	31 Jul →
ancient	10–6	-0.03	11%	31 Jul →
cache	16–14	-0.05	18%	31 Jul →
anubis	10–13	-0.02	9%	31 Jul →
inferno	16–14	0.07	11%	31 Jul →
inferno	16–13	-0.03	13%	30 Jul →
anubis	13–5	-0.01	10%	30 Jul →
ancient	13–8	0.05	17%	30 Jul →
inferno	13–4	0.06	9%	30 Jul →
nuke	9–13	-0.08	12%	30 Jul →
anubis	13–3	0.08	15%	30 Jul →
ancient	13–10	0.10	20%	29 Jul →
office	6–13	-0.05	11%	29 Jul →
ancient	3–13	-0.05	19%	29 Jul →
nuke	8–13	-0.07	15%	28 Jul →
cache	13–3	0.08	17%	28 Jul →
cache	13–4	0.08	21%	28 Jul →
office	13–10	-0.03	18%	28 Jul →
cache	9–13	-0.08	14%	28 Jul →
inferno	7–13	0.01	8%	28 Jul →
office	9–13	-0.06	12%	27 Jul →
nuke	2–13	-0.08	7%	27 Jul →
ancient	13–6	-0.00	4%	27 Jul →
cache	13–7	0.02	11%	27 Jul →