stediaim — CS2 Stats

FI76561198822358327[U:1:862092599]Steam profile ↗✓ No bans

1,080Tracked matches50%Win rate2020Tracked since

CSDB Rating6.5 SolidEntry Fragger

FaceitLevel 10 · 2,043 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning71

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateLWWLWLLWWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim7.8

Aggression10.0

Utility4.4

Positioning7.1

Opening Duels6.7

Clutch2.6

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 89% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; 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

CT openings. 63% 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.

Reaction time. 570ms 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

Aim7.8

Positioning7.1

Utility4.4

Mechanics6.1

Opening Duels6.7

Win Impact5.0

Composite 6.5/10 (Solid), 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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time578ms−31ms

first ⅓ avg 609ms → last ⅓ avg 578ms

Headshot accuracy23.1%−3.1%

first ⅓ avg 26.2% → last ⅓ avg 23.1%

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

0.16Best rating — mirage 13–2

13–0Biggest win — mirage

5Longest win streak

3–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 69% over 13dust2Weakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	31	13–18	42%	0.04
dust2	D	17	5–12	29%	0.02
ancient	S	13	9–4	69%	0.04
anubis	A	12	7–5	58%	0.03
nuke	S	12	8–4	67%	0.02
inferno	C	10	4–6	40%	0.00
overpass	—	2	1–1	50%	0.13
cache	—	1	1–0	100%	-0.02
office	—	1	0–1	0%	0.07
vertigo	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

317Matches

57%Win rate

1.16Avg K/D

87.3ADR

48%Headshot %

Clutches & streaks

33%1v1 clutch win

28%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	95	52%	1.18	17.7
Ancient	39	64%	1.14	18.8
Anubis	37	57%	1.17	18.3
Dust2	23	65%	1.15	17.8
Nuke	17	71%	1.15	17.4
Inferno	15	60%	1.48	18.5
Overpass	7	43%	1.21	19.0
Vertigo	2	100%	1.45	33.5

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.

22.9%Headshot accuracy

36.9%Accuracy (enemy spotted)

37.1%Spray accuracy

77.2%Counter-strafing

9.7°Preaim

570msReaction time

51.1%T opening success

62.9%CT opening success

0.47Enemies flashed / flash

11.9%Flash assists

5.59HE damage / grenade

6.07Flashes / 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 0.4739 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	17–19	0.02	17%	30 Aug →
cache	13–11	-0.02	34%	28 Aug →
mirage	13–9	0.03	24%	28 Aug →
inferno	9–13	-0.04	20%	23 Aug →
anubis	13–6	0.03	17%	23 Aug →
anubis	7–13	0.00	14%	9 Aug →
mirage	4–13	0.00	8%	9 Aug →
nuke	13–11	0.03	30%	9 Aug →
dust2	13–6	0.06	47%	9 Aug →
mirage	7–13	0.01	20%	9 Aug →
nuke	13–2	0.08	38%	30 Jul →
ancient	5–13	0.04	11%	30 Jul →
dust2	3–13	0.00	15%	14 Jul →
ancient	13–8	0.06	7%	14 Jul →
nuke	13–7	0.03	30%	21 Jun →
dust2	6–13	-0.02	26%	21 Jun →
inferno	10–13	-0.00	27%	21 Jun →
mirage	10–13	-0.02	17%	21 Jun →
nuke	5–13	-0.01	25%	21 Jun →
anubis	6–13	-0.05	9%	21 Jun →
dust2	13–3	0.07	30%	21 Jun →
overpass	4–9	0.10	36%	11 Jun →
anubis	13–10	0.05	29%	10 Jun →
mirage	13–0	0.13	15%	4 May →
nuke	7–13	-0.02	35%	28 Apr →
anubis	13–5	0.07	15%	28 Apr →
dust2	13–6	0.13	26%	28 Apr →
nuke	5–13	0.02	25%	28 Apr →
mirage	13–6	0.08	18%	26 Apr →
mirage	13–5	0.12	25%	23 Apr →
anubis	7–13	0.05	22%	19 Apr →
dust2	6–13	0.01	35%	19 Apr →
inferno	3–13	-0.05	15%	19 Apr →
mirage	10–13	-0.09	17%	19 Apr →
ancient	13–8	0.08	26%	19 Apr →
inferno	11–13	0.04	24%	19 Apr →
ancient	6–13	-0.05	16%	19 Apr →
anubis	13–4	0.04	11%	17 Apr →
dust2	8–13	-0.01	17%	14 Apr →
mirage	5–13	-0.06	22%	12 Apr →
ancient	13–8	0.07	28%	12 Apr →
dust2	11–13	0.05	24%	12 Apr →
mirage	9–13	0.01	15%	12 Apr →
dust2	13–10	-0.00	18%	11 Apr →
inferno	5–13	-0.02	23%	11 Apr →
mirage	13–2	0.16	15%	11 Apr →
anubis	13–7	-0.01	21%	10 Apr →
ancient	13–9	-0.03	19%	10 Apr →
nuke	13–10	0.15	17%	10 Apr →
ancient	13–10	0.04	22%	10 Apr →
mirage	13–16	0.05	18%	10 Apr →
inferno	16–13	0.02	18%	9 Apr →
mirage	11–13	-0.02	19%	9 Apr →
anubis	13–2	0.16	15%	9 Apr →
anubis	11–13	-0.00	22%	9 Apr →
mirage	13–8	0.06	28%	8 Apr →
mirage	13–6	0.10	16%	8 Apr →
nuke	13–3	0.01	20%	8 Apr →
ancient	16–14	0.06	22%	8 Apr →
mirage	9–13	0.11	18%	7 Apr →
inferno	13–7	0.05	23%	7 Apr →
ancient	13–8	0.12	18%	6 Apr →
inferno	13–6	0.07	19%	6 Apr →
nuke	13–7	0.02	23%	5 Apr →
inferno	11–13	-0.04	28%	5 Apr →
mirage	1–13	-0.04	24%	5 Apr →
anubis	13–8	0.05	30%	5 Apr →
dust2	1–13	0.00	28%	1 Apr →
dust2	2–13	-0.10	64%	1 Apr →
dust2	13–7	0.08	15%	31 Mar →
mirage	5–13	-0.07	21%	30 Mar →
mirage	13–4	0.08	42%	30 Mar →
mirage	11–13	0.10	47%	30 Mar →
overpass	13–4	0.15	19%	29 Mar →
mirage	7–13	-0.05	19%	29 Mar →
dust2	8–13	-0.05	29%	29 Mar →
ancient	15–15	0.00	15%	29 Mar →
dust2	10–13	0.05	26%	26 Mar →
dust2	10–13	0.01	35%	26 Mar →
mirage	13–10	0.07	22%	24 Mar →
ancient	16–12	0.05	17%	24 Mar →
nuke	16–13	-0.02	12%	18 Mar →
dust2	7–13	-0.03	28%	18 Mar →
mirage	13–9	0.11	29%	18 Mar →
nuke	10–13	0.01	22%	17 Mar →
mirage	11–13	-0.03	29%	16 Mar →
nuke	13–6	-0.06	16%	16 Mar →
inferno	13–10	0.02	21%	16 Mar →
mirage	14–16	-0.04	20%	16 Mar →
ancient	13–8	0.06	19%	13 Mar →
mirage	2–13	0.05	17%	13 Mar →
mirage	13–9	0.06	23%	13 Mar →
office	3–13	0.07	55%	11 Mar →
dust2	4–13	0.11	36%	11 Mar →
mirage	3–13	0.04	27%	11 Mar →
vertigo	13–4	0.08	29%	10 Mar →
mirage	13–4	0.16	30%	10 Mar →
mirage	9–4	0.03	20%	10 Mar →
mirage	6–13	-0.04	18%	9 Mar →
ancient	9–13	0.02	16%	8 Mar →