AWPrah Winfrey

AWPrah Winfrey — CS2 Stats

76561198129560542[U:1:169294814]Steam profile ↗✓ No bans

989Tracked matches34%Win rate2020Tracked since
CSDB Rating3.9 Learning
Ladder ranks via Leetify

Performance scores

Aim36
Positioning51
Utility42

0–100 skill scores via Leetify.

Recent form

COLD41554Last 10041%Win rateLLWWLLLLLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim3.6
Aggression6.1
Utility4.2
Positioning5.1
Opening Duels2.4

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 703ms 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

Aim3.6
Positioning5.1
Utility4.2
Mechanics5.9
Opening Duels2.5
Win Impact0.0

Composite 3.9/10 (Learning), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time696ms+21ms
first ⅓ avg 675ms → last ⅓ avg 696ms
Headshot accuracy13.2%+2.1%
first ⅓ avg 11.1% → last ⅓ avg 13.2%

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

0.09Best rating — mirage 13–2
132Biggest win — mirage
3Longest win streak
L2Current streak
810In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 55% over 22nukeWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
dust2A22121055%-0.02
mirageB21101148%-0.01
nukeD2061430%-0.02
infernoB147750%-0.02
ancientC94544%-0.01
anubisC52340%-0.03
cache3030%0.00
overpass3030%-0.03
train2020%-0.07
shelter1010%-0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

86Matches
47%Win rate
1.00Avg K/D
ADR
36%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

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.

13.5%Headshot accuracy
30.1%Accuracy (enemy spotted)
34.8%Spray accuracy
76.7%Counter-strafing
11.5°Preaim
703msReaction time
29.5%T opening success
49.7%CT opening success
0.57Enemies flashed / flash
4.6%Flash assists
5.33HE damage / grenade
6.59Flashes / 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. 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 13.5171% — below the 15% mark we flag

    Aim Training
  2. 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 703.3005ms — above the 700ms mark we flag

    Aim Training
  3. 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 29.4778% — 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.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0413%7 Aug
cache5–130.0117%7 Aug
nuke13–11-0.0412%5 Aug
mirage13–20.0911%3 Aug
dust26–130.0014%31 Jul
mirage2–13-0.0711%31 Jul
inferno5–9-0.0611%26 Jul
inferno14–160.0117%21 Jul
ancient10–13-0.0016%17 Jul
ancient13–16-0.039%16 Jul
nuke5–130.0121%16 Jul
cache9–13-0.0610%16 Jul
nuke13–20.0915%14 Jul
mirage4–13-0.032%11 Jul
shelter4–13-0.107%11 Jul
nuke11–13-0.0712%10 Jul
mirage13–8-0.0018%9 Jul
inferno7–13-0.0410%8 Jul
dust213–11-0.0013%7 Jul
anubis13–100.018%4 Jul
mirage11–13-0.0519%4 Jul
mirage6–13-0.0516%27 Jun
dust28–13-0.0513%25 Jun
inferno13–5-0.0417%25 Jun
cache12–120.0615%13 Jun
dust213–10-0.0716%12 Jun
mirage13–4-0.065%10 Jun
mirage8–130.0321%28 Mar
dust213–60.0221%8 Mar
mirage8–13-0.0820%3 Mar
mirage13–16-0.038%2 Mar
dust212–16-0.037%22 Feb
ancient4–13-0.0513%22 Feb
nuke8–13-0.0314%21 Feb
dust213–6-0.058%21 Feb
inferno13–3-0.0229%16 Feb
mirage13–4-0.0216%16 Feb
nuke13–160.0312%15 Feb
dust27–13-0.0313%15 Feb
dust213–5-0.0112%14 Feb
ancient9–13-0.0315%13 Feb
inferno13–11-0.035%10 Feb
inferno9–13-0.087%8 Feb
mirage12–1-0.019%6 Feb
dust213–60.048%4 Feb
anubis4–13-0.048%31 Jan
ancient16–130.0313%30 Jan
mirage13–11-0.0115%28 Jan
mirage13–40.029%28 Jan
overpass11–13-0.066%26 Jan
anubis13–90.0319%25 Jan
nuke5–13-0.0723%25 Jan
dust213–8-0.0313%25 Jan
nuke13–10-0.0119%25 Jan
ancient13–10-0.079%24 Jan
anubis11–13-0.098%24 Jan
train11–13-0.0612%19 Jan
mirage5–13-0.0112%19 Jan
nuke10–130.0215%18 Jan
mirage13–80.0311%18 Jan
inferno9–13-0.0516%17 Jan
nuke9–13-0.0217%16 Jan
dust28–13-0.0114%15 Jan
dust215–15-0.0112%10 Jan
dust213–11-0.028%9 Jan
overpass10–13-0.0210%5 Jan
dust213–40.0412%4 Jan
inferno13–60.0614%4 Jan
dust213–11-0.097%2 Jan
mirage11–130.0011%2 Jan
overpass7–13-0.0111%31 Dec
inferno13–9-0.0313%29 Dec
nuke16–14-0.0311%28 Dec
mirage11–130.044%21 Dec
nuke4–13-0.049%19 Dec
train8–13-0.095%19 Dec
mirage13–5-0.0124%16 Dec
dust24–13-0.0718%14 Dec
inferno7–130.0312%13 Dec
ancient13–50.0210%13 Dec
nuke11–13-0.0211%12 Dec
nuke7–13-0.054%5 Dec
nuke12–120.0325%1 Dec
dust210–13-0.0012%1 Dec
nuke8–13-0.064%30 Nov
inferno13–10-0.0021%21 Nov
nuke15–15-0.0312%4 Nov
inferno10–13-0.0410%27 Oct
mirage10–13-0.0514%24 Oct
ancient13–60.046%23 Oct
nuke13–5-0.0511%18 Oct
dust28–13-0.029%14 Oct
dust213–10-0.0310%12 Oct
mirage13–5-0.029%12 Oct
dust213–80.0311%4 Oct
ancient3–13-0.0212%4 Oct
inferno13–5-0.048%3 Oct
dust27–13-0.038%3 Oct
nuke11–13-0.0411%2 Oct
nuke13–11-0.0112%1 Oct

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →