All WT20 2026 Players — Global Rankings
Cross-team calibrated (daisy-chain anchor normalisation) · Baseline: 2026-05-01 – 2026-06-11 · 180 players across 12 teams · Data: 2026-07-14
| # | Player | Team | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|
Team Share of Search — All 12 Teams
Relative search volume for each team's name across Google Trends (global), normalised via daisy-chain with India as anchor. Data: 2026-07-21.
| # | Team | SoS % | Bar |
|---|
Team SoS — Chart
Team SoS — Daily Movement (since tournament window opened)
Daily snapshots from 2026-05-22. Anchor: India. Watch for spikes around big match days.
Country-Level SoS Breakdown
Search interest by country — shows how each nation's home-team dominates global women's cricket search. Based on team-level SoS data.
Geographic Territory Trends
Search interest by market geography. Queries use Google Trends topic IDs so language variants (Japanese, Portuguese, Thai, etc.) roll into a single signal per keyword. Each keyword is indexed to its own all-time peak (since 2004), so “women’s cricket” and “ICC Women’s T20 World Cup” are tracked separately rather than against each other. Sparklines below each market show the last ~10 years of Google Trends interest, averaged to one point per year so tournament-month spikes smooth into the underlying trend.
All-Time Peak Dates
When each keyword hit its 100 (Google Trends, since 2004) per market × channel
| Territory | Market | Channel | Keyword | Peak Date | Latest % of peak |
|---|
Tournament Edition Lift — 2026 vs Prior WT20s
For each market & keyword, we compare the 2026 tournament-window peak (Jun-Jul 2026) against the peak measured during each prior WT20 edition's window (±1 month around the event). Values are Google Trends % (0–100, indexed to that keyword's all-time peak in that market). Lift % = (current − prior_peak) ÷ prior_peak × 100. “NEW” means there was no measurable signal in that prior edition for that market (zero baseline — lift is undefined).
Risers & Fallers — vs Pre-Tournament Baseline
Movers Summary
101 players rising vs pre-tournament baseline ·
46 falling.
Top riser: Smriti Mandhana (IND) +4.55pp.
Top faller: Laura Wolvaardt (SA) -14.98pp.
Global SoS% = cross-team calibrated via daisy-chain anchor normalisation.
▲ Risers (101 players)
| # | Team | Player | Baseline | Current | Change | |
|---|---|---|---|---|---|---|
| 1 | 🇮🇳 | IND | Smriti Mandhana | 30.86% | 5.93% | +4.553pp |
| 2 | 🇵🇰 | PAK | Fatima Sana | 24.34% | 5.06% | +3.888pp |
| 3 | 🇵🇰 | PAK | Muneeba Ali | 8.44% | 3.82% | +3.404pp |
| 4 | 🇮🇳 | IND | Yastika Bhatia | 7.63% | 3.64% | +3.179pp |
| 5 | 🇮🇳 | IND | Shafali Verma | 4.73% | 3.18% | +2.943pp |
| 6 | 🇮🇳 | IND | Shree Charani | 4.29% | 2.93% | +2.694pp |
| 7 | 🇮🇳 | IND | Harmanpreet Kaur | 9.15% | 2.97% | +2.559pp |
| 8 | 🇦🇺 | AUS | Ellyse Perry | 21.94% | 3.28% | +2.515pp |
| 9 | 🇮🇳 | IND | Deepti Sharma | 6.55% | 2.68% | +2.362pp |
| 10 | 🇮🇳 | IND | Jemimah Rodrigues | 9.48% | 2.69% | +2.219pp |
| 11 | 🇵🇰 | PAK | Aliya Riaz | 7.97% | 2.42% | +2.030pp |
| 12 | 🇮🇳 | IND | Kranti Gaud | 3.15% | 2.18% | +2.013pp |
| 13 | 🇮🇳 | IND | Richa Ghosh | 3.15% | 2.09% | +1.937pp |
| 14 | 🇮🇳 | IND | Shreyanka Patil | 3.22% | 1.66% | +1.498pp |
| 15 | 🇦🇺 | AUS | Ashleigh Gardner | 2.13% | 1.49% | +1.417pp |
| 16 | 🇵🇰 | PAK | Gull Feroza | 16.60% | 2.17% | +1.367pp |
| 17 | 🇵🇰 | PAK | Nashra Sandhu | 2.54% | 1.47% | +1.350pp |
| 18 | 🇦🇺 | AUS | Sophie Molineux | 1.92% | 1.39% | +1.319pp |
| 19 | 🇿🇦 | SA | Marizanne Kapp | 4.22% | 1.64% | +1.260pp |
| 20 | 🇦🇺 | AUS | Beth Mooney | 4.91% | 1.32% | +1.147pp |
▼ Fallers (46 players)
| # | Team | Player | Baseline | Current | Change | |
|---|---|---|---|---|---|---|
| 1 | 🇿🇦 | SA | Laura Wolvaardt | 40.34% | 1.12% | -14.980pp |
| 2 | 🏴 | SCO | Olivia Bell | 58.43% | 0.22% | -7.211pp |
| 3 | 🏴 | ENG | Charlie Dean | 23.11% | 0.96% | -7.058pp |
| 4 | 🏴 | ENG | Lauren Bell | 23.12% | 2.31% | -5.901pp |
| 5 | 🇿🇦 | SA | Tazmin Brits | 8.22% | 0.64% | -5.041pp |
| 6 | 🏴 | ENG | Amy Jones | 14.06% | 0.97% | -3.767pp |
| 7 | 🇮🇪 | IRE | Louise Little | 43.24% | 0.29% | -1.827pp |
| 8 | 🇿🇦 | SA | Shabnim Ismail | 24.24% | 0.64% | -1.814pp |
| 9 | 🏴 | ENG | Heather Knight | 7.04% | 0.80% | -1.772pp |
| 10 | 🏴 | ENG | Alice Capsey | 5.74% | 0.49% | -1.736pp |
| 11 | 🏴 | ENG | Freya Kemp | 5.09% | 0.50% | -1.508pp |
| 12 | 🇿🇦 | SA | Nadine de Klerk | 6.56% | 0.50% | -1.392pp |
| 13 | 🏴 | ENG | Sophia Dunkley | 3.68% | 0.11% | -1.344pp |
| 14 | 🇦🇺 | AUS | Grace Harris | 44.07% | 0.22% | -1.343pp |
| 15 | 🏴 | ENG | Dani Gibson | 3.48% | 0.25% | -1.055pp |
| 16 | 🇿🇦 | SA | Nonkululeko Mlaba | 3.43% | 0.27% | -1.022pp |
| 17 | 🏴 | SCO | Sarah Bryce | 11.53% | 0.25% | -0.899pp |
| 18 | 🇿🇦 | SA | Annerie Dercksen | 2.41% | 0.48% | -0.868pp |
| 19 | 🏴 | ENG | Linsey Smith | 2.91% | 0.21% | -0.833pp |
| 20 | 🏴 | ENG | Tilly Corteen-Coleman | 2.33% | 0.02% | -0.778pp |
Per-Team Squad Breakdown
🏴 England (ENG)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Lauren Bell |
21.9%
|
27.3%
|
-1.2pp | +4.2pp |
| 2 | Nat Sciver-Brunt |
12.1%
|
0.6%
|
+11.2pp | -0.0pp |
| 3 | Amy Jones |
9.3%
|
12.8%
|
-4.8pp | -0.3pp |
| 4 | Charlie Dean |
9.1%
|
55.2%
|
-14.0pp | -3.7pp |
| 5 | Sophie Ecclestone |
8.7%
|
0.8%
|
+5.4pp | +3.9pp |
| 6 | Heather Knight |
7.6%
|
0.5%
|
+0.6pp | +2.5pp |
| 7 | Danni Wyatt-Hodge |
7.5%
|
0.7%
|
+5.8pp | -5.5pp |
| 8 | Issy Wong |
5.3%
|
1.2%
|
+2.9pp | +3.3pp |
| 9 | Freya Kemp |
4.7%
|
0.2%
|
-0.4pp | -2.6pp |
| 10 | Alice Capsey |
4.6%
|
0.4%
|
-1.1pp | +0.3pp |
| 11 | Lauren Filer |
3.4%
|
0.0%
|
+2.2pp | +2.5pp |
| 12 | Dani Gibson |
2.4%
|
0.2%
|
-1.1pp | -1.6pp |
| 13 | Linsey Smith |
2.0%
|
0.1%
|
-0.9pp | -1.9pp |
| 14 | Sophia Dunkley |
1.1%
|
0.1%
|
-2.6pp | -0.5pp |
| 15 | Tilly Corteen-Coleman |
0.2%
|
0.0%
|
-2.1pp | -0.5pp |
🇦🇺 Australia (AUS)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Ellyse Perry |
27.2%
|
67.3%
|
+5.2pp | -0.2pp |
| 2 | Ashleigh Gardner |
12.4%
|
2.5%
|
+10.2pp | +2.2pp |
| 3 | Sophie Molineux |
11.5%
|
4.0%
|
+9.6pp | -1.0pp |
| 4 | Beth Mooney |
10.9%
|
2.2%
|
+6.0pp | -0.1pp |
| 5 | Phoebe Litchfield |
9.2%
|
7.8%
|
+7.0pp | -0.6pp |
| 6 | Georgia Voll |
8.8%
|
2.6%
|
+6.0pp | +1.7pp |
| 7 | Georgia Wareham |
3.8%
|
0.1%
|
+3.5pp | -0.3pp |
| 8 | Lucy Hamilton |
3.6%
|
1.2%
|
-6.2pp | -0.2pp |
| 9 | Annabel Sutherland |
3.6%
|
0.9%
|
+2.6pp | -0.1pp |
| 10 | Kim Garth |
3.2%
|
3.4%
|
+1.3pp | -0.1pp |
| 11 | Nicola Carey |
2.3%
|
1.6%
|
+1.2pp | -0.6pp |
| 12 | Grace Harris |
1.8%
|
3.7%
|
-42.2pp | -0.1pp |
| 13 | Alana King |
1.1%
|
2.8%
|
-3.8pp | -0.2pp |
| 14 | Tahlia McGrath |
0.3%
|
0.0%
|
-0.1pp | -0.2pp |
| 15 | Megan Schutt |
0.1%
|
0.0%
|
-0.4pp | -0.1pp |
🇮🇳 India (IND)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Smriti Mandhana |
17.2%
|
42.3%
|
-13.6pp | +0.6pp |
| 2 | Yastika Bhatia |
10.6%
|
0.3%
|
+3.0pp | +5.0pp |
| 3 | Shafali Verma |
9.2%
|
1.1%
|
+4.5pp | -0.2pp |
| 4 | Harmanpreet Kaur |
8.6%
|
15.1%
|
-0.5pp | +0.1pp |
| 5 | Shree Charani |
8.5%
|
0.1%
|
+4.2pp | -0.3pp |
| 6 | Jemimah Rodrigues |
7.8%
|
11.6%
|
-1.7pp | +0.3pp |
| 7 | Deepti Sharma |
7.8%
|
2.8%
|
+1.2pp | +0.0pp |
| 8 | Kranti Gaud |
6.3%
|
0.0%
|
+3.2pp | +2.8pp |
| 9 | Richa Ghosh |
6.1%
|
2.0%
|
+2.9pp | -0.0pp |
| 10 | Shreyanka Patil |
4.8%
|
6.6%
|
+1.6pp | -1.6pp |
| 11 | Bharti Fulmali |
3.2%
|
4.5%
|
-1.9pp | -2.7pp |
| 12 | Nandani Sharma |
3.0%
|
0.0%
|
-2.9pp | -0.8pp |
| 13 | Renuka Singh |
2.5%
|
0.6%
|
+0.8pp | -1.2pp |
| 14 | Arundhati Reddy |
2.2%
|
0.2%
|
-0.9pp | -0.6pp |
| 15 | Radha Yadav |
2.0%
|
12.8%
|
-0.1pp | -1.2pp |
🇳🇿 New Zealand (NZ)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Sophie Devine |
22.9%
|
42.6%
|
+5.5pp | +0.3pp |
| 2 | Nensi Patel |
11.5%
|
0.0%
|
+2.9pp | +1.0pp |
| 3 | Jess Kerr |
9.9%
|
4.9%
|
+1.0pp | +0.2pp |
| 4 | Suzie Bates |
9.6%
|
13.8%
|
-2.6pp | +1.1pp |
| 5 | Izzy Gaze |
9.5%
|
0.0%
|
+1.3pp | -0.4pp |
| 6 | Maddy Green |
9.0%
|
31.4%
|
-8.9pp | -0.3pp |
| 7 | Izzy Sharp |
8.4%
|
1.1%
|
+3.0pp | +0.6pp |
| 8 | Brooke Halliday |
7.5%
|
1.5%
|
+1.4pp | +0.2pp |
| 9 | Georgia Plimmer |
5.2%
|
0.0%
|
-2.8pp | -1.8pp |
| 10 | Lea Tahuhu |
3.7%
|
2.3%
|
+1.3pp | +0.7pp |
| 11 | Rosemary Mair |
2.8%
|
2.5%
|
-1.0pp | -0.6pp |
| 12 | Bree Illing |
0.0%
|
0.0%
|
-0.1pp | -0.0pp |
| 13 | Polly Inglis |
0.0%
|
0.0%
|
-0.4pp | -0.3pp |
| 14 | Flora Devonshire |
0.0%
|
0.0%
|
-0.2pp | -0.4pp |
| 15 | Melie Kerr |
0.0%
|
0.0%
|
-0.2pp | -0.3pp |
🇵🇰 Pakistan (PAK)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Fatima Sana |
23.8%
|
40.2%
|
-0.5pp | -0.6pp |
| 2 | Muneeba Ali |
17.9%
|
0.7%
|
+9.5pp | +0.5pp |
| 3 | Aliya Riaz |
11.4%
|
56.6%
|
+3.4pp | +0.4pp |
| 4 | Gull Feroza |
10.2%
|
0.1%
|
-6.4pp | -0.2pp |
| 5 | Ayesha Zafar |
7.2%
|
0.9%
|
-10.9pp | +0.0pp |
| 6 | Nashra Sandhu |
6.9%
|
0.5%
|
+4.4pp | -0.1pp |
| 7 | Sadia Iqbal |
5.2%
|
0.0%
|
+2.5pp | -0.1pp |
| 8 | Saira Jabeen |
4.4%
|
0.0%
|
-1.5pp | +0.1pp |
| 9 | Rameen Shamim |
4.4%
|
0.0%
|
+1.1pp | +0.1pp |
| 10 | Tasmia Rubab |
3.4%
|
0.2%
|
+1.2pp | +0.0pp |
| 11 | Iram Javed |
2.4%
|
0.4%
|
-0.8pp | +0.0pp |
| 12 | Tuba Hassan |
1.6%
|
0.0%
|
+0.0pp | -0.1pp |
| 13 | Diana Baig |
1.0%
|
0.0%
|
-1.7pp | -0.2pp |
| 14 | Natalia Parvaiz |
0.0%
|
0.0%
|
-0.0pp | 0.0pp |
| 15 | Nida Dar |
0.0%
|
0.2%
|
-0.3pp | 0.0pp |
🇿🇦 South Africa (SA)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Marizanne Kapp |
25.9%
|
25.6%
|
+21.7pp | +1.8pp |
| 2 | Laura Wolvaardt |
17.7%
|
52.1%
|
-22.6pp | -0.4pp |
| 3 | Shabnim Ismail |
10.0%
|
3.7%
|
-14.2pp | -0.6pp |
| 4 | Tazmin Brits |
10.0%
|
5.2%
|
+1.8pp | +0.7pp |
| 5 | Nadine de Klerk |
7.9%
|
2.5%
|
+1.4pp | -0.0pp |
| 6 | Annerie Dercksen |
7.6%
|
1.5%
|
+5.2pp | +0.2pp |
| 7 | Chloe Tryon |
5.0%
|
2.8%
|
+3.0pp | -0.6pp |
| 8 | Dane van Niekerk |
4.5%
|
5.2%
|
+1.2pp | -0.0pp |
| 9 | Nonkululeko Mlaba |
4.2%
|
0.0%
|
+0.8pp | -0.1pp |
| 10 | Ayabonga Khaka |
3.8%
|
0.9%
|
+2.4pp | -0.3pp |
| 11 | Sinalo Jafta |
2.2%
|
0.6%
|
+1.3pp | -0.2pp |
| 12 | Kayla Reyneke |
0.7%
|
0.0%
|
+0.1pp | -0.4pp |
| 13 | Sune Luus |
0.4%
|
0.0%
|
-0.1pp | +0.1pp |
| 14 | Tumi Sekhukhune |
0.0%
|
0.0%
|
-1.3pp | 0.0pp |
| 15 | Karabo Meso |
0.0%
|
0.0%
|
-0.5pp | -0.1pp |
🇱🇰 Sri Lanka (SL)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Chamari Athapaththu |
43.0%
|
70.0%
|
-10.4pp | +2.4pp |
| 2 | Nilakshi de Silva |
24.0%
|
0.0%
|
+16.2pp | +2.3pp |
| 3 | Kavisha Dilhari |
9.5%
|
27.0%
|
+2.2pp | +0.2pp |
| 4 | Vishmi Gunaratne |
9.0%
|
1.7%
|
+7.8pp | -4.4pp |
| 5 | Sugandika Kumari |
8.8%
|
0.0%
|
+4.4pp | -0.5pp |
| 6 | Hasini Perera |
5.1%
|
0.0%
|
-10.1pp | -0.3pp |
| 7 | Achini Kulasuriya |
0.7%
|
0.0%
|
+0.7pp | +0.7pp |
| 8 | Karishma Siriwardena |
0.0%
|
0.0%
|
-0.5pp | -0.4pp |
| 9 | Harshitha Madavi |
0.0%
|
1.3%
|
0.0pp | 0.0pp |
| 10 | Malsha Shehani |
0.0%
|
0.0%
|
-3.2pp | 0.0pp |
| 11 | Udeshika Prabodhani |
0.0%
|
0.0%
|
-1.0pp | 0.0pp |
| 12 | Sachini Nisansala |
0.0%
|
0.0%
|
-0.0pp | 0.0pp |
| 13 | Anushka Sanjeewani |
0.0%
|
0.0%
|
-3.7pp | 0.0pp |
| 14 | Inoshi Priyadarshani |
0.0%
|
0.0%
|
-0.7pp | 0.0pp |
| 15 | Oshadi Ranasinghe |
0.0%
|
0.0%
|
-1.8pp | 0.0pp |
🏝️ West Indies (WI)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Hayley Matthews |
35.6%
|
41.6%
|
+2.0pp | +9.2pp |
| 2 | Stafanie Taylor |
13.4%
|
2.2%
|
-3.7pp | +2.6pp |
| 3 | Shemaine Campbelle |
11.5%
|
0.0%
|
+9.6pp | -2.4pp |
| 4 | Deandra Dottin |
10.9%
|
18.1%
|
-3.3pp | -1.8pp |
| 5 | Aaliyah Alleyne |
6.6%
|
0.0%
|
+3.0pp | -1.4pp |
| 6 | Karishma Ramharack |
6.5%
|
0.0%
|
+3.4pp | -0.3pp |
| 7 | Chinelle Henry |
6.2%
|
0.0%
|
-5.7pp | -2.2pp |
| 8 | Qiana Joseph |
5.0%
|
5.2%
|
-1.5pp | -2.5pp |
| 9 | Afy Fletcher |
3.9%
|
0.0%
|
+0.4pp | -0.4pp |
| 10 | Mandy Mangru |
0.5%
|
30.9%
|
-0.8pp | -0.4pp |
| 11 | Lee-Ann Kirby |
0.0%
|
0.0%
|
-0.1pp | 0.0pp |
| 12 | Chedean Nation |
0.0%
|
2.0%
|
0.0pp | 0.0pp |
| 13 | Zaida James |
0.0%
|
0.0%
|
-2.5pp | -0.4pp |
| 14 | Shamilia Connell |
0.0%
|
0.0%
|
-0.6pp | 0.0pp |
| 15 | Shabika Gajnabi |
0.0%
|
0.0%
|
0.0pp | 0.0pp |
🇧🇩 Bangladesh (BAN)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Juairiya Ferdous |
26.3%
|
1.0%
|
+14.8pp | +0.8pp |
| 2 | Ritu Moni |
14.0%
|
42.4%
|
+4.5pp | +0.0pp |
| 3 | Nahida Akter |
12.9%
|
2.1%
|
+4.0pp | -0.4pp |
| 4 | Dilara Akter |
10.8%
|
0.0%
|
-5.7pp | -0.1pp |
| 5 | Marufa Akter |
10.4%
|
20.8%
|
+3.2pp | +0.2pp |
| 6 | Shorna Akter |
10.0%
|
0.0%
|
-4.8pp | +0.1pp |
| 7 | Sobhana Mostary |
9.8%
|
1.0%
|
-3.6pp | -0.2pp |
| 8 | Sultana Khatun |
4.0%
|
1.1%
|
-8.4pp | +0.3pp |
| 9 | Taj Nehar |
1.7%
|
1.7%
|
+0.7pp | -0.3pp |
| 10 | Nigar Sultana Joty |
0.0%
|
1.4%
|
-0.0pp | 0.0pp |
| 11 | Fahima Khatun |
0.0%
|
0.0%
|
-4.2pp | -0.3pp |
| 12 | Sharmin Akter Supta |
0.0%
|
14.2%
|
-0.1pp | 0.0pp |
| 13 | Shanjida Akther Maghla |
0.0%
|
0.0%
|
0.0pp | 0.0pp |
| 14 | Rabeya Khan |
0.0%
|
14.2%
|
-0.2pp | 0.0pp |
| 15 | Fariha Islam Trisna |
0.0%
|
0.0%
|
0.0pp | 0.0pp |
🇮🇪 Ireland (IRE)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Louise Little |
16.6%
|
46.3%
|
-26.7pp | +0.9pp |
| 2 | Gaby Lewis |
16.3%
|
1.8%
|
+14.8pp | -0.5pp |
| 3 | Amy Hunter |
16.2%
|
34.0%
|
-1.5pp | +0.7pp |
| 4 | Orla Prendergast |
14.7%
|
0.0%
|
+9.0pp | +0.3pp |
| 5 | Leah Paul |
8.3%
|
15.7%
|
-3.1pp | -0.7pp |
| 6 | Rebecca Stokell |
7.0%
|
0.0%
|
+3.9pp | +1.2pp |
| 7 | Aimee Maguire |
6.4%
|
1.1%
|
+5.3pp | +0.6pp |
| 8 | Cara Murray |
4.9%
|
0.0%
|
-1.0pp | +0.1pp |
| 9 | Arlene Kelly |
2.9%
|
0.0%
|
-0.1pp | -2.1pp |
| 10 | Georgina Dempsey |
2.7%
|
0.0%
|
+2.5pp | +2.6pp |
| 11 | Alana Dalzell |
2.4%
|
0.0%
|
-0.3pp | -1.4pp |
| 12 | Lara McBride |
1.2%
|
1.0%
|
+0.6pp | -0.2pp |
| 13 | Ava Canning |
0.3%
|
0.0%
|
-2.0pp | -1.4pp |
| 14 | Christina Coulter Reilly |
0.1%
|
0.0%
|
-0.5pp | -0.0pp |
| 15 | Laura Delany |
0.1%
|
0.0%
|
-0.9pp | -0.1pp |
🇳🇱 Netherlands (NED)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Babette de Leede |
18.2%
|
6.7%
|
-8.5pp | -0.1pp |
| 2 | Heather Siegers |
12.3%
|
0.0%
|
+3.5pp | +0.2pp |
| 3 | Iris Zwilling |
9.2%
|
9.6%
|
-7.2pp | 0.0pp |
| 4 | Robine Rijke |
8.7%
|
8.2%
|
+3.1pp | -0.2pp |
| 5 | Silver Siegers |
8.3%
|
0.0%
|
+6.1pp | +0.2pp |
| 6 | Sterre Kalis |
7.8%
|
0.0%
|
-2.3pp | -0.1pp |
| 7 | Phebe Molkenboer |
7.7%
|
37.2%
|
+3.5pp | -0.2pp |
| 8 | Caroline de Lange |
6.7%
|
3.5%
|
+1.6pp | +0.7pp |
| 9 | Frederique Overdijk |
5.7%
|
0.0%
|
+2.4pp | +0.1pp |
| 10 | Sanya Khurana |
4.6%
|
26.7%
|
+0.9pp | -0.5pp |
| 11 | Myrthe van den Raad |
4.4%
|
8.1%
|
-0.4pp | -0.3pp |
| 12 | Isabel van der Woning |
3.3%
|
0.0%
|
-2.2pp | +0.1pp |
| 13 | Hannah Landheer |
2.6%
|
0.0%
|
+2.0pp | -0.1pp |
| 14 | Rosalie Lawrence |
0.5%
|
0.0%
|
-2.1pp | +0.4pp |
| 15 | Lara Leemhuis |
0.0%
|
0.0%
|
-0.7pp | -0.1pp |
🏴 Scotland (SCO)
| # | Player | Google SoS% | YouTube SoS% | vs Pre-Tournament | Daily |
|---|---|---|---|---|---|
| 1 | Darcey Carter |
29.3%
|
0.0%
|
+23.8pp | +4.0pp |
| 2 | Kathryn Bryce |
12.0%
|
100.0%
|
+6.3pp | -2.9pp |
| 3 | Katherine Fraser |
9.5%
|
0.0%
|
+4.3pp | +0.1pp |
| 4 | Priyanaz Chatterji |
9.5%
|
0.0%
|
+7.2pp | +0.1pp |
| 5 | Sarah Bryce |
8.5%
|
0.0%
|
-3.0pp | -1.7pp |
| 6 | Olivia Bell |
7.2%
|
0.0%
|
-51.2pp | +1.6pp |
| 7 | Gabriella Fontenla |
4.9%
|
0.0%
|
+3.7pp | +0.3pp |
| 8 | Pippa Sproul |
4.5%
|
0.0%
|
+4.4pp | +0.8pp |
| 9 | Rachel Slater |
4.5%
|
0.0%
|
+2.0pp | -0.3pp |
| 10 | Ailsa Lister |
3.4%
|
0.0%
|
+1.7pp | +0.1pp |
| 11 | Kirstie Gordon |
3.4%
|
0.0%
|
+1.6pp | -0.6pp |
| 12 | Megan McColl |
2.6%
|
0.0%
|
+1.4pp | -0.5pp |
| 13 | Chloe Abel |
0.6%
|
0.0%
|
-0.3pp | -0.6pp |
| 14 | Abtaha Maqsood |
0.2%
|
0.0%
|
-1.2pp | -0.3pp |
| 15 | Maisie Maceira |
0.0%
|
0.0%
|
-0.6pp | -0.0pp |
▲ RISE STORY — Performance vs Search
7 of the top 10 risers are India players, led by Smriti Mandhana (+4.55pp). Tournament-wide top 3 by global SoS lift: Smriti Mandhana (India, +4.55pp), Fatima Sana (Pakistan, +3.89pp), Muneeba Ali (Pakistan, +3.40pp). — IND vs IRE on 06-23: Group A — Today
▼ FALL STORY — Performance vs Search
Steepest fall: Laura Wolvaardt (South Africa, -14.98pp). 5 of the top 10 fallers are England players. Bottom 3 by global SoS drop: Laura Wolvaardt (South Africa, -14.98pp), Olivia Bell (Scotland, -7.21pp), Charlie Dean (England, -7.06pp). — ENG vs AUS on 06-21: Group A
Player SoS — Over Time
Global SoS% change from pre-tournament baseline to latest pull. Calibrated via anchor normalisation. 50 snapshots available: 2026-05-22, 2026-05-23, 2026-05-24, 2026-05-25, 2026-05-26 ....
SoS Change (pp)
Baseline vs Current
| # | Player | Team | Baseline | Current | Change | Visual |
|---|
🏏 Match Moments — Daily Search Interest by Country
Google Trends daily interest for "ICC Women's T20 World Cup" across key markets since tournament start. Each country is normalised to its own tournament-window peak (100 = that country's highest day), so the chart shows relative timing of interest spikes per market, not absolute volume. India and Pakistan both peaked on the opener (Jun 12); ENG/AUS/BAN peaked on Jun 21 (ENG vs AUS group match). Vertical markers show match days. Source: Google Trends via SerpAPI.
Match Calendar
| Date | Match | Result / Note | India Interest | Pak Interest | ENG Interest |
|---|
Fan Base MAU — Women's Cricket interest, over time
Monthly Active Users on Meta + Instagram with Women's cricket as a declared/inferred interest, broken out by country, sampled daily. Bands are the Meta-returned users_lower–users_upper range; the line is the midpoint. Source: Meta Ads Library reach estimate (interest topic id 6003215537265).
click to filter
| Country | Tier | First snapshot | Latest MAU (mid) | Latest range | Δ since first |
|---|
