Minesweeper ~

Minesweeper ~
Developer: Yi Zeng
Category: Games
~386.9K - 773.8K
7.7K ratings
Minesweeper ~ icon

ASO Keyword Dashboard

Tracking 63 keywords for Minesweeper ~ in Apple App Store

Developer: Yi Zeng Category: games Rating: 4.65

Minesweeper ~ tracks 63 keywords (no keywords rank yet; 63 need traction). Key metrics: opportunity 51.8, difficulty 42.7.

Tracked keywords

63

0  ranked •  63  not ranking yet

Top 10 coverage

Best rank — • Latest leader —

Avg opportunity

51.8

Top keyword: fun

Avg difficulty

42.7

Lower scores indicate easier wins

Opportunity leaders

  • fun

    Opportunity: 59.0 • Difficulty: 58.2 • Rank —

    Competitors: 1,147

    83.8
  • best

    Opportunity: 59.0 • Difficulty: 59.6 • Rank —

    Competitors: 1,398

    85.9
  • experience

    Opportunity: 59.0 • Difficulty: 59.1 • Rank —

    Competitors: 1,134

    83.9
  • top

    Opportunity: 58.0 • Difficulty: 58.9 • Rank —

    Competitors: 706

    78.1
  • challenging

    Opportunity: 58.0 • Difficulty: 49.8 • Rank —

    Competitors: 392

    72.8

Unranked opportunities

  • fun

    Opportunity: 59.0 • Difficulty: 58.2 • Competitors: 1,147

  • best

    Opportunity: 59.0 • Difficulty: 59.6 • Competitors: 1,398

  • experience

    Opportunity: 59.0 • Difficulty: 59.1 • Competitors: 1,134

  • top

    Opportunity: 58.0 • Difficulty: 58.9 • Competitors: 706

  • challenging

    Opportunity: 58.0 • Difficulty: 49.8 • Competitors: 392

High competition keywords

  • best

    Total apps: 6,283 • Major competitors: 1,398

    Latest rank: — • Difficulty: 59.6

  • experience

    Total apps: 5,154 • Major competitors: 1,134

    Latest rank: — • Difficulty: 59.1

  • fun

    Total apps: 5,061 • Major competitors: 1,147

    Latest rank: — • Difficulty: 58.2

  • using

    Total apps: 4,473 • Major competitors: 924

    Latest rank: — • Difficulty: 61.4

  • daily

    Total apps: 3,674 • Major competitors: 820

    Latest rank: — • Difficulty: 58.4

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

Major Competitors
fun591005884

5,061 competing apps

Median installs: 275,775

Avg rating: 4.6

1,147

major competitor apps

best591006086

6,283 competing apps

Median installs: 272,625

Avg rating: 4.6

1,398

major competitor apps

top581005978

2,843 competing apps

Median installs: 305,500

Avg rating: 4.6

706

major competitor apps

challenging581005073

1,663 competing apps

Median installs: 295,550

Avg rating: 4.6

392

major competitor apps

daily rewards571003042

72 competing apps

Median installs: 260,825

Avg rating: 4.7

12

major competitor apps

exercise581004261

508 competing apps

Median installs: 264,062

Avg rating: 4.7

105

major competitor apps

art581004769

1,082 competing apps

Median installs: 239,212

Avg rating: 4.6

202

major competitor apps

tailored581005366

836 competing apps

Median installs: 291,662

Avg rating: 4.6

179

major competitor apps

experience591005984

5,154 competing apps

Median installs: 261,775

Avg rating: 4.6

1,134

major competitor apps

classic581005174

1,817 competing apps

Median installs: 292,025

Avg rating: 4.6

453

major competitor apps

control581005476

2,353 competing apps

Median installs: 243,700

Avg rating: 4.6

466

major competitor apps

using581006183

4,473 competing apps

Median installs: 247,200

Avg rating: 4.6

924

major competitor apps

multiple581005478

2,846 competing apps

Median installs: 239,425

Avg rating: 4.6

550

major competitor apps

score201005268

977 competing apps

Median installs: 314,100

Avg rating: 4.7

264

major competitor apps

various581005075

2,177 competing apps

Median installs: 229,325

Avg rating: 4.6

374

major competitor apps

move581005171

1,366 competing apps

Median installs: 278,150

Avg rating: 4.6

311

major competitor apps

ai581005371

1,363 competing apps

Median installs: 253,250

Avg rating: 4.6

284

major competitor apps

problem571003655

266 competing apps

Median installs: 289,675

Avg rating: 4.6

50

major competitor apps

brain201004769

1,163 competing apps

Median installs: 319,375

Avg rating: 4.7

298

major competitor apps

achieve581004464

697 competing apps

Median installs: 225,025

Avg rating: 4.7

133

major competitor apps

logic571003958

378 competing apps

Median installs: 283,600

Avg rating: 4.6

89

major competitor apps

rewards201005974

1,842 competing apps

Median installs: 334,388

Avg rating: 4.7

534

major competitor apps

difficulty581004162

550 competing apps

Median installs: 248,100

Avg rating: 4.7

121

major competitor apps

probability561002835

36 competing apps

Median installs: 213,050

Avg rating: 4.6

3

major competitor apps

stack201004252

201 competing apps

Median installs: 299,175

Avg rating: 4.7

54

major competitor apps

63 keywords
1 of 3

App Description

Classic minesweeper game, redefined by AI.

Our minesweeper game is one of its own kind in the market. We leverage AI technology to achieve various improvement on top of the classic minesweeper game.

- Exercise your brain and logic reasoning skills
- 4 difficulty options
- Fun experiences to unlock and daily rewards to claim.
- Classic minesweeper redefined by AI

* Redefined by AI *
1. Model the minesweeper game as a Constraint Satisfaction Problem (CSP) [a]
2. Precompute the heuristic score for each valid move using multiple state-of-the-art algorithms [b], to yield a stack rank of 10 (or less) best moves.
3. Based on the heuristic difference between the optimal move and the actual move by the user, we use our pre-defined probability (non-uniform distribution) to control the mine position (by ad-hoc switching cells on the board).
4. At the end of the game, further tune the mine-switching probability using win/lose ratio as an input [c], to ensure a custom tailored gaming experience that’s challenging but not frustrating.

References:
[a] https://inst.eecs.berkeley.edu/~cs188/fa18/assets/slides/lec4/FA18_cs188_lecture4_CSPs_6pp.pdf
[b] https://dash.harvard.edu/bitstream/handle/1/14398552/BECERRA-SENIORTHESIS-2015.pdf?sequence=1
[c] https://en.wikipedia.org/wiki/Reinforcement_learning