AustinP — CS2 Stats

76561198073525067[U:1:113259339]

1,135Tracked matches52%Win rate2020Tracked since
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating21,022Pink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#7258 of 19284 tracked
FaceitLevel 7 · 1,392 ELOTop 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGAustinPFACEITLevel 7 · 1,392 ELOSTANDINGTop 42.3% of rankedPREMIER21,022 · Pink bandcsdb.gg/stats

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Performance scores

Aim68
Positioning47
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43507Last 10043%Win rateLLWWWWWLLW

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression5.5
Utility5.8
Positioning4.7
Opening Duels1.7
Clutch3.4

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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. 629ms 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

Aim6.8
Positioning4.7
Utility5.8
Mechanics7.8
Opening Duels1.7
Win Impact5.6

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time632ms−55ms
first ⅓ avg 687ms → last ⅓ avg 632ms
Headshot accuracy22.7%+0.8%
first ⅓ avg 21.9% → last ⅓ avg 22.7%

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

0.24Best rating — poseidon 9–1
131Biggest win — inferno
5Longest win streak
L2Current streak
1110In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 63% over 8cacheWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA27151256%0.01
dust2C1971237%-0.02
poseidonB147750%-0.02
cacheD112918%-0.03
anubisA85363%0.01
nukeC73443%-0.02
ancientC52340%-0.03
debris21150%-0.03
overpass2020%-0.02
vertigo21150%-0.07
mirage1010%0.05
eldorado1010%-0.22
boulder1010%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

176Matches
55%Win rate
0.89Avg K/D
65.8ADR
54%Headshot %

Clutches & streaks

37%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno4558%0.9513.2
Anubis3250%0.8513.3
Dust22955%0.9711.9
Nuke2962%0.8313.1
Cache1164%0.9012.3
Overpass1173%1.1613.9
Ancient838%0.6812.3
Mirage729%0.6810.0

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.

22.5%Headshot accuracy
31.4%Accuracy (enemy spotted)
30.8%Spray accuracy
85.2%Counter-strafing
9.2°Preaim
629msReaction time
29.5%T opening success
43.9%CT opening success
0.54Enemies flashed / flash
5.2%Flash assists
7.60HE damage / grenade
15.06Flashes / 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.

  1. 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 29.4696% — below the 40% mark we flag

Spend your practice time on Cache

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0915%27 Aug
mirage11–130.0527%24 Aug
inferno13–6-0.0117%20 Aug
dust213–20.0921%20 Aug
inferno16–120.0110%20 Aug
anubis13–110.0030%20 Aug
dust213–110.0221%18 Aug
nuke4–13-0.0824%18 Aug
dust25–13-0.0520%18 Aug
inferno13–100.0223%18 Aug
nuke11–13-0.0414%15 Aug
inferno15–15-0.0027%15 Aug
dust213–11-0.0329%14 Aug
inferno6–13-0.0331%14 Aug
cache13–9-0.0231%14 Aug
nuke13–90.0221%14 Aug
dust213–11-0.0421%14 Aug
inferno13–11-0.0222%14 Aug
cache11–13-0.0418%6 Aug
dust28–13-0.0427%6 Aug
inferno11–130.0525%4 Aug
anubis16–140.0619%4 Aug
nuke9–13-0.0424%2 Aug
anubis13–7-0.0117%2 Aug
ancient5–130.0019%2 Aug
inferno14–16-0.0824%30 Jul
dust213–90.0033%30 Jul
dust212–16-0.0519%28 Jul
inferno13–80.0117%28 Jul
anubis5–13-0.0133%20 Jul
inferno13–1-0.0230%20 Jul
anubis6–130.0324%20 Jul
poseidon5–9-0.0817%19 Jul
ancient5–13-0.0126%17 Jul
dust20–4-0.0929%17 Jul
cache5–13-0.0433%17 Jul
inferno9–40.1229%17 Jul
debris3–9-0.0733%17 Jul
inferno13–20.0923%12 Jul
eldorado1–9-0.2215%12 Jul
dust214–16-0.0024%11 Jul
anubis13–20.0441%11 Jul
ancient13–11-0.0227%11 Jul
nuke16–130.0328%10 Jul
inferno7–130.0125%10 Jul
anubis13–80.0024%10 Jul
ancient13–4-0.1221%10 Jul
inferno13–9-0.0334%10 Jul
dust215–15-0.0516%10 Jul
cache3–13-0.0619%10 Jul
boulder2–13-0.0216%10 Jul
debris9–50.0119%10 Jul
poseidon9–7-0.069%7 Jul
inferno6–9-0.1024%7 Jul
dust213–11-0.0610%4 Jul
ancient8–13-0.0327%4 Jul
poseidon3–9-0.0830%4 Jul
anubis6–13-0.0621%4 Jul
poseidon9–40.0423%4 Jul
poseidon9–40.0928%4 Jul
dust28–13-0.0724%26 Jun
nuke6–13-0.0322%26 Jun
poseidon6–90.0163%26 Jun
inferno3–13-0.0314%23 Jun
inferno13–100.0121%23 Jun
dust29–13-0.0025%23 Jun
cache5–13-0.0411%15 Jun
dust20–8-0.0625%15 Jun
inferno9–30.1428%15 Jun
inferno9–30.0830%13 Jun
poseidon9–5-0.0821%12 Jun
poseidon9–6-0.1011%12 Jun
poseidon8–8-0.0612%12 Jun
inferno9–13-0.0118%11 Jun
inferno7–90.0826%11 Jun
inferno9–30.1835%4 Jun
poseidon6–9-0.1150%4 Jun
nuke13–9-0.0115%31 May
cache12–12-0.0624%31 May
poseidon9–7-0.155%31 May
inferno9–50.0223%31 May
dust26–130.0021%19 May
inferno7–13-0.0611%19 May
dust213–70.0226%19 May
cache13–110.0829%19 May
poseidon8–80.0915%19 May
poseidon9–10.2418%19 May
cache3–13-0.0226%14 May
overpass4–13-0.0118%14 May
dust211–13-0.0328%14 May
inferno3–13-0.0733%14 May
vertigo13–10-0.0526%14 May
vertigo0–2-0.090%14 May
cache12–12-0.0416%14 May
cache9–13-0.0128%13 May
overpass9–13-0.0219%13 May
dust211–130.0123%13 May
inferno13–9-0.0321%13 May
poseidon6–9-0.0425%13 May
inferno12–120.0216%12 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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