austin ! — CS2 Stats

76561198177997569[U:1:217731841]Steam profile ↗✓ No bans

453Tracked matches33%Win rate2021Tracked since

1,371Hours in CS16Hrs last 2 wks

CSDB Rating4.5 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim70

Positioning48

Utility24

0–100 skill scores via Leetify.

Recent form

COLD34–55–11Last 10034%Win rateLLLWTLLWLT

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.0

Aggression5.1

Utility2.4

Positioning4.8

Opening Duels1.9

Limited utility dependence

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 82% 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

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. 608ms 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

Aim7.0

Positioning4.8

Utility2.4

Mechanics6.0

Opening Duels1.9

Win Impact0.0

Composite 4.5/10 (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+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time610ms−75ms

first ⅓ avg 685ms → last ⅓ avg 610ms

Headshot accuracy18.6%+4.2%

first ⅓ avg 14.4% → last ⅓ avg 18.6%

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 — cache 13–2

13–2Biggest win — cache

4Longest win streak

L3Current streak

Map breakdown

trainBest map · 60% over 5infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	19	9–10	47%	-0.01
mirage	D	13	3–10	23%	-0.03
dust2	D	12	3–9	25%	-0.01
ancient	D	12	4–8	33%	0.02
nuke	C	8	3–5	38%	0.01
inferno	D	6	1–5	17%	0.01
vertigo	D	6	1–5	17%	-0.00
office	B	6	3–3	50%	-0.01
train	A	5	3–2	60%	-0.03
warden	D	5	1–4	20%	0.02
overpass	—	3	1–2	33%	-0.00
anubis	—	2	0–2	0%	-0.02
stronghold	—	1	1–0	100%	0.04
alpine	—	1	1–0	100%	-0.01
italy	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

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

Lifetime stats

35,831Lifetime kills

1.04K/D · Top 50% of tracked players

1,951Matches

42.3%Match win rate

40.8%Headshot %

15.2%Shot accuracy · Top 50% of tracked players

4,460MVPs

712Hours (in match)

1,397Bombs planted

333Bombs defused

Most-used weapons

AK-478,986

M4A4 / M4A1-S5,776

AWP2,863

P2000 / USP-S2,261

Galil AR1,774

Glock-181,760

Desert Eagle1,601

SG 5531,071

P90925

MAC-10783

Lifetime map wins

8,412dust2

830inferno

701nuke

204train

203office

194vertigo

112cbble

30lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.1%Headshot accuracy

37.1%Accuracy (enemy spotted)

43.7%Spray accuracy

77.0%Counter-strafing

11.3°Preaim

608msReaction time

32.2%T opening success

43.3%CT opening success

0.52Enemies flashed / flash

6.3%Flash assists

3.48HE damage / grenade

3.47Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.4656 — below the 4 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 32.1751% — 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.

17% win rate across 6 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
dust2	6–13	0.04	31%	30 Aug →
inferno	5–13	0.05	24%	30 Aug →
nuke	2–13	-0.04	15%	30 Aug →
cache	13–2	0.16	23%	29 Aug →
vertigo	12–12	-0.07	17%	29 Aug →
inferno	6–13	-0.03	28%	29 Aug →
mirage	7–13	-0.04	25%	22 Aug →
mirage	13–4	0.02	15%	22 Aug →
vertigo	6–13	-0.01	9%	22 Aug →
vertigo	12–12	-0.05	7%	22 Aug →
mirage	10–13	-0.01	10%	21 Aug →
ancient	3–13	-0.05	6%	21 Aug →
nuke	13–3	0.08	10%	21 Aug →
inferno	13–9	0.06	15%	21 Aug →
mirage	12–12	0.01	22%	20 Aug →
vertigo	13–8	0.11	15%	19 Aug →
office	13–3	0.04	13%	18 Aug →
mirage	12–12	-0.01	12%	18 Aug →
ancient	6–13	0.07	17%	18 Aug →
ancient	12–12	0.09	20%	16 Aug →
mirage	13–8	-0.00	25%	16 Aug →
office	0–5	-0.07	33%	13 Aug →
mirage	5–13	-0.00	24%	13 Aug →
overpass	8–13	-0.01	15%	11 Aug →
dust2	3–13	0.00	19%	11 Aug →
overpass	13–9	0.11	23%	9 Aug →
cache	5–13	0.02	40%	6 Aug →
cache	4–13	-0.08	8%	6 Aug →
train	1–10	-0.14	10%	5 Aug →
ancient	12–12	0.06	21%	5 Aug →
anubis	12–12	-0.04	5%	28 Jul →
cache	12–12	0.05	23%	27 Jul →
cache	2–7	-0.12	33%	25 Jul →
cache	13–8	-0.04	16%	26 Jun →
dust2	6–13	-0.03	25%	13 Jun →
cache	5–13	-0.05	28%	19 May →
cache	1–12	-0.03	18%	15 May →
cache	13–11	-0.06	8%	15 May →
cache	13–7	0.02	18%	6 May →
cache	13–11	0.07	20%	6 May →
cache	9–13	-0.06	26%	4 May →
cache	13–10	-0.01	11%	2 May →
cache	13–10	-0.01	14%	1 May →
dust2	1–13	-0.08	12%	1 May →
cache	5–13	-0.05	13%	1 May →
cache	13–9	-0.00	13%	1 May →
cache	5–2	0.12	13%	1 May →
cache	8–13	-0.02	17%	1 May →
cache	7–13	-0.05	17%	28 Apr →
ancient	13–7	0.06	20%	28 Apr →
train	2–13	-0.06	26%	24 Apr →
train	13–6	0.01	31%	24 Apr →
ancient	13–9	-0.08	0%	23 Apr →
mirage	7–13	-0.10	16%	21 Apr →
dust2	13–4	0.05	13%	17 Apr →
train	13–7	0.01	25%	17 Apr →
office	13–5	0.02	17%	17 Apr →
dust2	2–13	-0.06	7%	8 Apr →
warden	6–13	-0.03	15%	8 Apr →
ancient	8–13	-0.01	16%	8 Apr →
office	13–4	-0.02	18%	6 Apr →
inferno	4–13	-0.00	17%	6 Apr →
dust2	12–12	0.03	15%	30 Mar →
inferno	4–13	-0.01	15%	30 Mar →
mirage	5–13	-0.13	6%	30 Mar →
warden	12–12	0.07	13%	25 Mar →
dust2	6–13	0.03	12%	24 Mar →
ancient	1–13	-0.08	3%	24 Mar →
office	11–13	-0.02	30%	24 Mar →
mirage	9–13	-0.05	9%	19 Mar →
anubis	8–13	-0.00	8%	16 Mar →
office	6–3	-0.02	19%	14 Mar →
warden	5–13	0.06	7%	14 Mar →
mirage	4–13	-0.04	5%	13 Mar →
ancient	3–13	0.08	33%	13 Mar →
ancient	2–10	0.04	16%	9 Mar →
dust2	8–13	0.04	13%	9 Mar →
nuke	4–13	0.04	18%	9 Mar →
train	13–5	0.05	10%	9 Mar →
warden	3–13	-0.05	9%	9 Mar →
nuke	13–6	-0.00	19%	9 Mar →
stronghold	13–10	0.04	17%	9 Mar →
alpine	13–10	-0.01	13%	9 Mar →
ancient	13–9	-0.01	17%	9 Mar →
overpass	2–13	-0.11	6%	9 Mar →
inferno	9–13	0.02	13%	9 Mar →
vertigo	5–13	-0.04	21%	9 Mar →
mirage	13–8	0.02	6%	9 Mar →
ancient	13–2	0.05	16%	7 Mar →
nuke	0–12	0.00	17%	7 Mar →
warden	13–9	0.04	18%	6 Mar →
nuke	12–12	-0.05	14%	27 Feb →
vertigo	9–13	0.05	21%	19 Feb →
dust2	6–13	-0.04	18%	19 Feb →
dust2	13–2	-0.03	14%	19 Feb →
nuke	11–13	0.05	7%	18 Feb →
italy	9–13	0.00	11%	15 Feb →
mirage	10–13	-0.04	4%	13 Feb →
nuke	13–10	0.01	28%	13 Feb →
dust2	13–10	-0.05	12%	13 Feb →