DoF| AuSBoX — CS2 Stats

76561198343249055[U:1:382983327]Steam profile ↗

535Tracked matches34%Win rate2020Tracked since

CSDB Rating4.7 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning53

Utility21

0–100 skill scores via Leetify.

Recent form

COLD44–54–2Last 10044%Win rateWLLWWLLLLL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim5.8

Aggression7.8

Utility2.1

Positioning5.3

Opening Duels3.4

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 ropz 81% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

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 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 738ms 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

Aim5.8

Positioning5.3

Utility2.1

Mechanics8.2

Opening Duels3.4

Win Impact0.0

Composite 4.7/10 (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 rating-0.00−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time746ms−19ms

first ⅓ avg 765ms → last ⅓ avg 746ms

Headshot accuracy15.5%+1.3%

first ⅓ avg 14.2% → last ⅓ avg 15.5%

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 — cache 13–4

13–2Biggest win — mirage

6Longest win streak

9–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 60% over 30ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	18–12	60%	0.01
mirage	B	15	8–7	53%	0.00
nuke	C	14	6–8	43%	-0.01
inferno	C	11	4–7	36%	0.00
cache	D	10	2–8	20%	0.01
anubis	D	8	2–6	25%	0.04
ancient	D	7	1–6	14%	0.03
overpass	—	4	3–1	75%	0.05
train	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

51Matches

35%Win rate

1.03Avg K/D

—ADR

37%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	7	43%	1.15	18.1
Vertigo	3	33%	1.32	15.3
Ancient	3	0%	0.64	9.7
Mirage	2	0%	1.08	15.0
Overpass	1	0%	0.31	4.0

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.

16.0%Headshot accuracy

35.7%Accuracy (enemy spotted)

36.0%Spray accuracy

86.8%Counter-strafing

10.1°Preaim

738msReaction time

34.8%T opening success

52.7%CT opening success

0.35Enemies flashed / flash

1.5%Flash assists

9.42HE damage / grenade

1.27Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 737.9951ms — above the 700ms 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 0.3527 — 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 34.7908% — 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.

14% win rate across 7 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
nuke	13–9	0.01	11%	4 Aug →
dust2	3–13	-0.05	18%	31 Jul →
inferno	14–16	-0.05	30%	27 Jul →
nuke	13–7	0.03	15%	27 Jul →
dust2	13–6	0.02	12%	23 Jul →
cache	7–13	0.03	20%	22 Jul →
anubis	5–13	-0.00	27%	22 Jul →
cache	3–13	0.01	8%	18 Jul →
ancient	6–13	-0.02	17%	11 Jul →
cache	3–13	-0.01	8%	11 Jul →
cache	13–4	0.10	21%	10 Jul →
mirage	13–4	-0.01	14%	10 Jul →
nuke	9–13	-0.04	7%	10 Jul →
cache	8–13	-0.04	12%	10 Jul →
cache	15–15	-0.03	21%	10 Jul →
mirage	4–13	-0.04	19%	30 Jun →
inferno	16–12	0.04	18%	29 Jun →
dust2	13–6	0.03	21%	29 Jun →
nuke	14–16	0.01	19%	29 Jun →
mirage	8–13	0.10	15%	26 Jun →
inferno	9–13	-0.02	23%	25 Jun →
mirage	13–2	0.01	11%	25 Jun →
mirage	5–13	-0.08	9%	23 Jun →
nuke	8–13	0.02	10%	21 Jun →
nuke	16–13	-0.01	7%	19 Jun →
dust2	5–13	-0.02	19%	17 Jun →
dust2	9–13	-0.02	18%	16 Jun →
inferno	8–13	-0.07	6%	14 Jun →
dust2	13–8	0.01	22%	14 Jun →
mirage	10–13	-0.04	16%	14 Jun →
dust2	10–13	0.03	10%	14 Jun →
dust2	13–11	0.06	13%	13 Jun →
ancient	11–13	0.00	15%	13 Jun →
anubis	8–13	0.07	20%	11 Jun →
ancient	5–13	0.00	20%	9 Jun →
dust2	7–13	0.06	19%	9 Jun →
dust2	13–5	-0.04	25%	9 Jun →
mirage	13–3	-0.01	14%	9 Jun →
dust2	13–7	0.03	16%	9 Jun →
dust2	13–6	-0.01	21%	8 Jun →
cache	9–13	-0.01	14%	8 Jun →
cache	11–13	-0.02	22%	8 Jun →
cache	9–13	-0.01	10%	8 Jun →
dust2	15–15	0.08	16%	7 Jun →
cache	13–9	0.05	35%	31 May →
anubis	13–11	0.07	24%	31 May →
anubis	5–13	0.05	14%	17 May →
anubis	9–13	0.01	16%	16 May →
dust2	16–13	0.01	14%	16 May →
anubis	3–13	0.00	21%	12 Apr →
inferno	2–6	0.06	17%	11 Apr →
dust2	13–2	-0.01	11%	11 Apr →
ancient	11–13	0.09	20%	11 Apr →
dust2	11–13	-0.01	24%	25 Nov →
ancient	13–5	0.09	7%	22 Nov →
mirage	9–13	0.02	11%	22 Nov →
mirage	4–13	0.05	13%	15 Nov →
dust2	13–9	0.02	12%	15 Nov →
nuke	3–13	-0.03	9%	15 Nov →
anubis	6–13	0.03	11%	14 Nov →
dust2	13–11	-0.02	22%	9 Nov →
mirage	13–5	-0.06	19%	9 Nov →
nuke	5–9	-0.05	23%	8 Nov →
nuke	13–7	-0.01	11%	8 Nov →
inferno	13–11	0.04	21%	2 Nov →
dust2	13–11	-0.01	14%	2 Nov →
nuke	7–13	0.01	10%	2 Nov →
dust2	5–13	0.05	5%	1 Nov →
inferno	12–16	0.06	14%	1 Nov →
dust2	7–13	0.00	21%	28 Oct →
dust2	13–9	0.02	22%	26 Oct →
train	8–13	-0.09	10%	25 Oct →
dust2	8–13	-0.01	4%	25 Oct →
dust2	13–16	0.02	8%	23 Oct →
dust2	13–2	0.09	12%	21 Oct →
inferno	0–13	-0.01	19%	20 Oct →
inferno	16–14	-0.02	11%	19 Oct →
mirage	13–4	0.07	8%	19 Oct →
dust2	16–13	0.07	12%	17 Oct →
ancient	9–13	-0.01	3%	16 Oct →
overpass	13–10	-0.01	5%	12 Oct →
mirage	13–10	0.01	9%	11 Oct →
mirage	13–11	-0.02	10%	11 Oct →
nuke	13–5	0.05	18%	11 Oct →
dust2	6–13	-0.02	20%	7 Oct →
nuke	4–13	-0.04	13%	5 Oct →
mirage	6–13	-0.02	25%	3 Oct →
inferno	10–13	0.03	16%	3 Oct →
overpass	13–16	0.06	17%	3 Oct →
overpass	13–10	0.08	16%	2 Oct →
overpass	13–5	0.05	23%	2 Oct →
mirage	13–4	0.08	15%	30 Sept →
nuke	16–14	-0.06	10%	30 Sept →
dust2	13–7	-0.00	24%	30 Sept →
anubis	13–8	0.07	7%	29 Sept →
nuke	2–13	-0.09	18%	29 Sept →
dust2	13–11	0.02	13%	29 Sept →
dust2	13–7	0.03	21%	28 Sept →
inferno	13–6	-0.03	27%	28 Sept →
ancient	10–13	0.03	15%	28 Sept →