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 70.4, difficulty 39.9.
Tracked keywords
63
0 ranked • 63 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
70.4
Top keyword: exercise
Avg difficulty
39.9
Lower scores indicate easier wins
Opportunity leaders
- 68.6
exercise
Opportunity: 73.0 • Difficulty: 41.4 • Rank —
Competitors: 133
- 64.9
problem
Opportunity: 73.0 • Difficulty: 39.1 • Rank —
Competitors: 73
- 63.5
logic
Opportunity: 73.0 • Difficulty: 38.5 • Rank —
Competitors: 113
- 66.8
gaming
Opportunity: 73.0 • Difficulty: 40.9 • Rank —
Competitors: 213
- 63.5
tune
Opportunity: 73.0 • Difficulty: 39.1 • Rank —
Competitors: 82
Unranked opportunities
exercise
Opportunity: 73.0 • Difficulty: 41.4 • Competitors: 133
problem
Opportunity: 73.0 • Difficulty: 39.1 • Competitors: 73
logic
Opportunity: 73.0 • Difficulty: 38.5 • Competitors: 113
gaming
Opportunity: 73.0 • Difficulty: 40.9 • Competitors: 213
tune
Opportunity: 73.0 • Difficulty: 39.1 • Competitors: 82
High competition keywords
experience
Total apps: 121,884 • Major competitors: 1,381
Latest rank: — • Difficulty: 51.6
best
Total apps: 116,953 • Major competitors: 1,658
Latest rank: — • Difficulty: 51.5
using
Total apps: 115,531 • Major competitors: 949
Latest rank: — • Difficulty: 51.3
fun
Total apps: 86,465 • Major competitors: 1,343
Latest rank: — • Difficulty: 50.1
based
Total apps: 80,023 • Major competitors: 681
Latest rank: — • Difficulty: 49.6
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| fun | 67 | 100 | 50 | 83 86,465 competing apps Median installs: 150 Avg rating: 4.1 | — | — | 1,343 major competitor apps |
| best | 66 | 100 | 51 | 85 116,953 competing apps Median installs: 150 Avg rating: 4.2 | — | — | 1,658 major competitor apps |
| top | 69 | 100 | 48 | 78 47,030 competing apps Median installs: 150 Avg rating: 4.2 | — | — | 710 major competitor apps |
| challenging | 70 | 100 | 45 | 74 25,870 competing apps Median installs: 150 Avg rating: 4.2 | — | — | 470 major competitor apps |
| daily rewards | 69 | 100 | 28 | 45 484 competing apps Median installs: 1,175 Avg rating: 4.4 | — | — | 15 major competitor apps |
| exercise | 73 | 100 | 41 | 69 12,552 competing apps Median installs: 125 Avg rating: 4.3 | — | — | 133 major competitor apps |
| art | 71 | 100 | 44 | 73 23,826 competing apps Median installs: 125 Avg rating: 4.2 | — | — | 253 major competitor apps |
| tailored | 70 | 100 | 45 | 74 27,767 competing apps Median installs: 75 Avg rating: 4.4 | — | — | 222 major competitor apps |
| experience | 66 | 100 | 52 | 85 121,884 competing apps Median installs: 100 Avg rating: 4.2 | — | — | 1,381 major competitor apps |
| classic | 70 | 100 | 45 | 74 25,527 competing apps Median installs: 200 Avg rating: 4.3 | — | — | 532 major competitor apps |
| control | 68 | 100 | 49 | 81 65,235 competing apps Median installs: 100 Avg rating: 4.0 | — | — | 580 major competitor apps |
| using | 66 | 100 | 51 | 85 115,531 competing apps Median installs: 100 Avg rating: 4.1 | — | — | 949 major competitor apps |
| multiple | 68 | 100 | 49 | 81 68,139 competing apps Median installs: 125 Avg rating: 4.2 | — | — | 682 major competitor apps |
| score | 71 | 100 | 44 | 73 21,956 competing apps Median installs: 100 Avg rating: 4.2 | — | — | 297 major competitor apps |
| various | 69 | 100 | 47 | 79 48,990 competing apps Median installs: 100 Avg rating: 4.1 | — | — | 387 major competitor apps |
| move | 70 | 100 | 45 | 74 26,889 competing apps Median installs: 125 Avg rating: 4.1 | — | — | 326 major competitor apps |
| ai | 69 | 100 | 47 | 78 44,935 competing apps Median installs: 125 Avg rating: 4.3 | — | — | 390 major competitor apps |
| problem | 73 | 100 | 39 | 65 7,571 competing apps Median installs: 125 Avg rating: 4.1 | — | — | 73 major competitor apps |
| brain | 72 | 100 | 43 | 71 16,377 competing apps Median installs: 150 Avg rating: 4.3 | — | — | 359 major competitor apps |
| achieve | 71 | 100 | 43 | 71 18,511 competing apps Median installs: 100 Avg rating: 4.3 | — | — | 157 major competitor apps |
| logic | 73 | 100 | 38 | 63 6,201 competing apps Median installs: 175 Avg rating: 4.3 | — | — | 113 major competitor apps |
| rewards | 71 | 100 | 44 | 72 20,930 competing apps Median installs: 225 Avg rating: 4.3 | — | — | 499 major competitor apps |
| difficulty | 72 | 100 | 42 | 69 12,952 competing apps Median installs: 125 Avg rating: 4.3 | — | — | 148 major competitor apps |
| probability | 70 | 100 | 30 | 50 994 competing apps Median installs: 100 Avg rating: 4.2 | — | — | 7 major competitor apps |
| stack | 72 | 100 | 36 | 59 3,523 competing apps Median installs: 150 Avg rating: 4.3 | — | — | 63 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