Comprehensive Ranking System (CRS) score trends over time
Monthly Invitations to Apply (ITAs)
Number of ITAs issued per month
Draw Distribution by Program
Distribution of draws across different Express Entry programs
CRS Score Distribution by Program
Distribution of CRS scores across different Express Entry programs
CRS Score Pool Distribution
as of Sep 1, 2025
Current distribution of candidates in the Express Entry pool by CRS score range
Total Candidates: 254,672
Latest Express Entry Draws
Last updated: Sep 4, 2025
Draw #
Date
Program
ITAs
CRS Score
340
Mar 17, 2025
Provincial Nominee Program
536
736
339
Mar 6, 2025
French language proficiency (Version 1)
4,500
410
338
Mar 3, 2025
Provincial Nominee Program
725
667
337
Feb 19, 2025
French language proficiency (Version 1)
6,500
428
336
Feb 17, 2025
Provincial Nominee Program
646
750
335
Feb 5, 2025
Canadian Experience Class
4,000
521
334
Feb 4, 2025
Provincial Nominee Program
455
802
333
Jan 23, 2025
Canadian Experience Class
4,000
527
332
Jan 8, 2025
Canadian Experience Class
1,350
542
331
Jan 7, 2025
Provincial Nominee Program
471
793
Draw Score Prediction (Canadian Experience Class Only)
How Our Prediction Works
Our Express Entry CRS score prediction uses a sophisticated algorithm that considers multiple factors:
Historical Data Analysis: We analyze patterns from past draws to identify trends.
Pool Distribution: Current candidate distribution in the Express Entry pool.
Seasonal Adjustments: Different times of year can affect CRS scores.
Error Pattern Correction: We learn from previous prediction errors to improve accuracy.
Volatility Analysis: Recent score fluctuations are factored into our confidence intervals.
Accuracy Levels:
Excellent:Within 3 points
Good:Within 4-5 points
Moderate:Within 6-10 points
Poor:More than 10 points off
Predicted CRS Score
528
Most likely minimum score for next Canadian Experience Class draw
Calibration phase, results may vary
526
Likely Minimum
529
Likely Maximum
* 85% confidence interval based on historical patterns
525528531
Expected Draw Details
Expected Draw Size
999
Time to Next Draw
3 days
Adjusted prediction (original date passed)
Score Trend
Stable
Prediction Adjustments
Total Adjustment
-3.5 points
Seasonal Factor
0 points
Historical Accuracy
+4.7 points
Error Pattern
-8.2 points
What are these adjustments? Our prediction algorithm applies these adjustments to improve accuracy:
Seasonal Factor: Adjusts for time-of-year patterns in CRS scores
Historical Accuracy: Corrects for systematic bias in our previous predictions
Error Pattern: Adjusts based on patterns in prediction errors for similar score ranges
Estimated Pool Distribution (500-600 CRS Range)
Notice
This is our estimation for the detailed breakdown of candidates in the 500-600 CRS score range.
IRCC only provides the total count for this range, not the detailed distribution by individual scores.
Our algorithm estimates this distribution based on historical patterns, statistical modeling, and score trends.
The actual distribution could be very different from our estimation.
Estimated Distribution by CRS Score (500-600 Range)
Estimated number of candidates at each CRS score level within the 500-600 range
Prediction generated: Sep 4, 2025, 2:01 AM
Prediction Accuracy
Overall Accuracy
What does this mean?
Accuracy is measured by how close our predicted CRS score is to the actual score when a draw occurs.
A prediction is considered "accurate" if it's within 5 points of the actual score.
8.3%
Based on 36 evaluated CEC draw predictions
Note: Our prediction system is still calibrating with recent policy changes. Accuracy improves with each draw as our algorithm learns from new data. As immigration policies highly volatile, accuracy may vary.
Disclaimer: This prediction is based on historical CEC draw patterns and current Express Entry pool data. Immigration policies may change without notice, and actual scores may vary. Our system is optimized for CEC draws only (not PNP, French language, etc.) and is continuously improving as it learns from new data. Recent policy changes and irregular patterns may temporarily affect prediction accuracy.