Minesweeper ~
ASO Keyword Dashboard
Tracking 63 keywords for Minesweeper ~ in Apple App Store
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
- 83.8
fun
Opportunity: 59.0 • Difficulty: 58.2 • Rank —
Competitors: 1,147
- 85.9
best
Opportunity: 59.0 • Difficulty: 59.6 • Rank —
Competitors: 1,398
- 83.9
experience
Opportunity: 59.0 • Difficulty: 59.1 • Rank —
Competitors: 1,134
- 78.1
top
Opportunity: 58.0 • Difficulty: 58.9 • Rank —
Competitors: 706
- 72.8
challenging
Opportunity: 58.0 • Difficulty: 49.8 • Rank —
Competitors: 392
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 | |||||||
|---|---|---|---|---|---|---|---|
| fun | 59 | 100 | 58 | 84 5,061 competing apps Median installs: 275,775 Avg rating: 4.6 | — | — | 1,147 major competitor apps |
| best | 59 | 100 | 60 | 86 6,283 competing apps Median installs: 272,625 Avg rating: 4.6 | — | — | 1,398 major competitor apps |
| top | 58 | 100 | 59 | 78 2,843 competing apps Median installs: 305,500 Avg rating: 4.6 | — | — | 706 major competitor apps |
| challenging | 58 | 100 | 50 | 73 1,663 competing apps Median installs: 295,550 Avg rating: 4.6 | — | — | 392 major competitor apps |
| daily rewards | 57 | 100 | 30 | 42 72 competing apps Median installs: 260,825 Avg rating: 4.7 | — | — | 12 major competitor apps |
| exercise | 58 | 100 | 42 | 61 508 competing apps Median installs: 264,062 Avg rating: 4.7 | — | — | 105 major competitor apps |
| art | 58 | 100 | 47 | 69 1,082 competing apps Median installs: 239,212 Avg rating: 4.6 | — | — | 202 major competitor apps |
| tailored | 58 | 100 | 53 | 66 836 competing apps Median installs: 291,662 Avg rating: 4.6 | — | — | 179 major competitor apps |
| experience | 59 | 100 | 59 | 84 5,154 competing apps Median installs: 261,775 Avg rating: 4.6 | — | — | 1,134 major competitor apps |
| classic | 58 | 100 | 51 | 74 1,817 competing apps Median installs: 292,025 Avg rating: 4.6 | — | — | 453 major competitor apps |
| control | 58 | 100 | 54 | 76 2,353 competing apps Median installs: 243,700 Avg rating: 4.6 | — | — | 466 major competitor apps |
| using | 58 | 100 | 61 | 83 4,473 competing apps Median installs: 247,200 Avg rating: 4.6 | — | — | 924 major competitor apps |
| multiple | 58 | 100 | 54 | 78 2,846 competing apps Median installs: 239,425 Avg rating: 4.6 | — | — | 550 major competitor apps |
| score | 20 | 100 | 52 | 68 977 competing apps Median installs: 314,100 Avg rating: 4.7 | — | — | 264 major competitor apps |
| various | 58 | 100 | 50 | 75 2,177 competing apps Median installs: 229,325 Avg rating: 4.6 | — | — | 374 major competitor apps |
| move | 58 | 100 | 51 | 71 1,366 competing apps Median installs: 278,150 Avg rating: 4.6 | — | — | 311 major competitor apps |
| ai | 58 | 100 | 53 | 71 1,363 competing apps Median installs: 253,250 Avg rating: 4.6 | — | — | 284 major competitor apps |
| problem | 57 | 100 | 36 | 55 266 competing apps Median installs: 289,675 Avg rating: 4.6 | — | — | 50 major competitor apps |
| brain | 20 | 100 | 47 | 69 1,163 competing apps Median installs: 319,375 Avg rating: 4.7 | — | — | 298 major competitor apps |
| achieve | 58 | 100 | 44 | 64 697 competing apps Median installs: 225,025 Avg rating: 4.7 | — | — | 133 major competitor apps |
| logic | 57 | 100 | 39 | 58 378 competing apps Median installs: 283,600 Avg rating: 4.6 | — | — | 89 major competitor apps |
| rewards | 20 | 100 | 59 | 74 1,842 competing apps Median installs: 334,388 Avg rating: 4.7 | — | — | 534 major competitor apps |
| difficulty | 58 | 100 | 41 | 62 550 competing apps Median installs: 248,100 Avg rating: 4.7 | — | — | 121 major competitor apps |
| probability | 56 | 100 | 28 | 35 36 competing apps Median installs: 213,050 Avg rating: 4.6 | — | — | 3 major competitor apps |
| stack | 20 | 100 | 42 | 52 201 competing apps Median installs: 299,175 Avg rating: 4.7 | — | — | 54 major competitor apps |
App Description
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