Dr. Alice Weidel

Dr. Alice Weidel — CS2 Stats

DE76561198352934284[U:1:392668556]Steam profile ↗✓ No bans

1,475Tracked matches59%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating23,661Top 25% of 212,133 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#35917 of 259148 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+410Premier CS Rating · 23,251 → 23,661

Rating over time

Premier CS Rating: 23,661 -161 28 Aug – 1 Nov · 33 days played
20,87223,822peak 23,82228 Aug1 Nov
23,905Peak Premier in tracked matches
32Days played since 2026-08-28

Premier CS Rating

  • 161 below peak (23,822)
  • +1,602 over 30 days · improving
  • Next: Red band at 25,000 — 1,339 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGDr. Alice WeidelFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER23,661 · Pink bandcsdb.gg/stats

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Performance scores

Aim75
Positioning70
Utility39

0–100 skill scores via Leetify.

Recent form

HOT49–47–4Last 10049%Win rateLWWLWWLWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +1.7pp headshot accuracy · +20ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 492ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 510ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 500ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+3 against its own average).

Aim7.5
Utility3.9
Positioning7.0
Opening Duels5.0
Clutch0.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 65% on T to 47% on CT — first contacts on the defending side are being lost.

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

Aim7.5
Positioning7.0
Utility3.9
Mechanics5.5
Opening Duels6.5
Win Impact7.9

Composite 6.6/10 (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 rating0.03+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time487ms−2ms
first ⅓ avg 490ms → last ⅓ avg 487ms
Headshot accuracy18.7%−0.2%
first ⅓ avg 18.9% → last ⅓ avg 18.7%

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.

Personal bests

0.22Best match rating · 13–4 · nuke, 3 Oct →
44%Best headshot accuracy · 2–13 · nuke, 17 Oct →
375msFastest reaction time · 13–5 · ancient, 30 Oct →
13–1Biggest win · anubis, 24 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 100% over 6mirageWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA2314–961%0.04
dust2C228–1436%0.01
nukeC156–940%0.03
anubisA149–564%0.02
mirageD122–1017%0.00
ancientB84–450%0.02
cacheS66–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
57%Win rate
1.27Avg K/D
101.0ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

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.

18.9%Headshot accuracy
32.8%Accuracy (enemy spotted)
31.7%Spray accuracy
74.9%Counter-strafing
8.0°Preaim
490msReaction time
64.8%T opening success
46.9%CT opening success
0.48Enemies flashed / flash
2.9%Flash assists
11.96HE damage / grenade
2.47Flashes / 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.

  1. 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 0.4836 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0025%1 Nov →
anubis13–6-0.0120%1 Nov →
mirage13–90.0118%1 Nov →
ancient5–13-0.0321%31 Oct →
nuke13–110.1015%31 Oct →
inferno13–110.0732%31 Oct →
anubis9–13-0.078%30 Oct →
inferno13–70.0415%30 Oct →
nuke13–70.0528%30 Oct →
anubis13–70.0317%30 Oct →
ancient13–50.0918%30 Oct →
dust211–130.0721%29 Oct →
mirage5–13-0.0323%27 Oct →
dust215–150.0214%26 Oct →
anubis7–130.0122%25 Oct →
dust213–70.0315%25 Oct →
inferno16–13-0.0224%25 Oct →
anubis13–80.0013%25 Oct →
nuke7–130.0115%25 Oct →
anubis9–13-0.0216%24 Oct →
dust213–9-0.0126%24 Oct →
dust27–130.0321%24 Oct →
anubis13–10.1522%24 Oct →
nuke13–40.1621%24 Oct →
inferno13–110.0722%24 Oct →
inferno8–13-0.0313%23 Oct →
ancient13–40.0013%23 Oct →
nuke8–130.0523%21 Oct →
inferno13–100.1317%21 Oct →
inferno10–130.0711%20 Oct →
dust26–13-0.0020%19 Oct →
anubis13–11-0.0313%19 Oct →
mirage10–130.0514%18 Oct →
mirage15–15-0.0215%18 Oct →
inferno14–16-0.0220%17 Oct →
nuke2–13-0.0944%17 Oct →
inferno5–130.0420%17 Oct →
cache13–70.0519%16 Oct →
dust25–13-0.0417%15 Oct →
dust27–130.0420%15 Oct →
dust213–11-0.0020%15 Oct →
dust29–130.0219%15 Oct →
cache13–100.0818%13 Oct →
dust29–20.0227%13 Oct →
inferno13–60.0316%13 Oct →
nuke11–130.0411%12 Oct →
dust21–13-0.0210%12 Oct →
mirage14–160.0224%12 Oct →
cache13–40.0414%12 Oct →
cache13–6-0.0219%11 Oct →
mirage5–13-0.059%10 Oct →
inferno13–80.0611%10 Oct →
dust213–40.139%10 Oct →
ancient13–50.0921%10 Oct →
dust27–13-0.0513%10 Oct →
anubis13–4-0.0110%10 Oct →
mirage13–80.0517%10 Oct →
mirage9–13-0.0219%10 Oct →
nuke15–150.0421%10 Oct →
inferno13–80.1024%10 Oct →
anubis5–130.0124%9 Oct →
nuke3–13-0.098%9 Oct →
ancient13–70.0315%9 Oct →
nuke13–7-0.0316%9 Oct →
nuke8–130.0017%8 Oct →
ancient4–13-0.0713%8 Oct →
mirage6–13-0.0418%8 Oct →
inferno13–80.1011%7 Oct →
inferno15–150.0328%7 Oct →
inferno11–13-0.0318%6 Oct →
inferno13–160.0023%3 Oct →
dust29–13-0.0126%3 Oct →
inferno13–110.019%3 Oct →
nuke13–40.2215%3 Oct →
dust213–110.0817%3 Oct →
dust26–130.0126%30 Sept →
dust24–13-0.0126%28 Sept →
nuke11–13-0.0314%27 Sept →
dust213–7-0.0014%27 Sept →
inferno13–9-0.0515%27 Sept →
anubis11–130.0624%27 Sept →
inferno13–70.0115%26 Sept →
anubis13–110.0314%26 Sept →
nuke13–11-0.0311%26 Sept →
ancient13–160.0613%26 Sept →
cache13–100.0425%26 Sept →
inferno7–130.0319%26 Sept →
dust210–13-0.0228%26 Sept →
inferno13–40.0524%26 Sept →
dust211–130.0225%25 Sept →
mirage12–160.0121%25 Sept →
cache13–8-0.0125%25 Sept →
anubis13–70.0524%25 Sept →
inferno13–70.0621%25 Sept →
mirage8–130.0424%24 Sept →
anubis13–90.0616%24 Sept →
inferno5–130.0713%24 Sept →
ancient10–130.0219%23 Sept →
dust213–10-0.009%23 Sept →
mirage6–130.0010%23 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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