Al Ain 0-1 Al Nasr – Result & Analysis
Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.
Poisson model favours Al Ain (75%) — form and H2H data both point in the same direction as Al Ain face Al Nasr.
✍️ Match Preview
Pre-Match Analysis
Al Ain and Al Nasr meet at Hazza Bin Zayed Stadium in Pro League, Regular Season - 20. This fixture gets under way on Friday 17 March 2023 at 16:30 UTC.
Current Form
Al Ain's overall Pro League record this term: 7W 3D 0L from 10 games (2.40 PPG). Last five: W W W W W. They are averaging 2.90 goals per game — a high-scoring output that makes them a genuine attacking threat in any fixture. 2 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 80% of their matches — an extremely high rate that makes BTTS Yes a well-supported standalone angle from their form alone. This season is still relatively young for Al Ain, so this record blends games from this season and last.
In front of their own supporters this season, Al Ain have posted 6W 3D 1L at Hazza Bin Zayed Stadium — 2.10 PPG. They are averaging 2.90 goals per home game — a prolific scoring rate in front of their own fans. Both teams have scored in 70% of their home games — an outstanding BTTS rate that is a key data point for this fixture.
Al Nasr have collected 1.10 PPG across 10 Pro League outings this season: 3W 2D 5L. Last five: L W L L W. Their scoring rate of 0.70 per game is modest, conceding 1.40 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in just 30% of their games, reflecting a regular tendency to keep or record clean sheets. This season is still relatively young for Al Nasr, so this record blends games from this season and last.
When travelling in Pro League this season, Al Nasr have posted 0W 5D 5L from 10 away outings — 0.50 PPG. Away from home they average 0.90 goals scored and 2.30 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context. Their away PPG of 0.50 is notably below their overall 1.10 — form away from home has been a clear weakness this season.
Form favours the hosts. Al Ain's 2.40 PPG return is 1.30 points per game ahead of Al Nasr's 1.10 — a genuine gap in recent results that provides a statistically grounded case for backing the home side.
In terms of goals, both squads have been finding the net consistently (using home/away splits) — Al Ain have seen both teams score in 70% of their games, Al Nasr in 60%. That combined rate is a strong statistical case for BTTS Yes as a standalone play.
H2H History
The head-to-head record favours Al Ain, who have won 3 of the last 3 meetings against Al Nasr — a 0D 0W return for the visitors.
These two sides have produced goals at a consistent rate historically, averaging 3.0 per game across 3 meetings. That scoring profile provides genuine support for the Over 2.5 angle. The most recent clash, on 22 Oct 2022, ended 3–1 with Al Ain winning.
From a betting standpoint, the H2H backs both Al Ain and goals. The home side's 3 wins from 3 meetings, combined with an average of 3.0 goals per game, gives the home win and Over 2.5 combination a historically grounded case.
Trading Data
Al Ain goal-timing and half-time pattern breakdown (45 games, 22 at home): they score before half-time in 82% of fixtures in home games; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 50% of those occasions; they lead at the break 56% of the time; BTTS occurs in 64% of their matches (home games); Over 2.5 goals lands in 64% of games (home games); Over 3.5 in 42%; they keep a clean sheet 40% of the time.
Al Nasr goal-timing and half-time pattern breakdown (45 games, 22 at away): they score before half-time in 68% of fixtures in away games; when goalless at HT, a second-half goal follows 94% of the time; two or more arrive in the second half on 56% of those occasions; BTTS occurs in 64% of their matches (away games); Over 2.5 goals lands in 68% of games (away games).
BTTS rates are mixed from the trading data — Al Ain 58% versus Al Nasr 49%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Al Ain 60% | Al Nasr 58%).
Poisson Model
The Poisson distribution model projects Al Ain 2.79 xG and Al Nasr 1.00 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Al Ain attack 1.461 / defence 0.874 | Al Nasr attack 0.772 / defence 1.254. League average goals — home 1.521 / away 1.484. Al Ain carry an above-average attack strength of 1.461 — their λ of 2.79 reflects genuine attacking quality above the league norm. Al Nasr bring a strong defensive rating of 1.254 — this is suppressing Al Ain's projected output below what their attack strength alone would suggest. Data: 45 Al Ain games / 45 Al Nasr games used (CurrentSeason).
Result probabilities: Al Ain 75% | Draw 15% | Al Nasr 11%. Fair-value odds: Al Ain 1.33 | Draw 6.67 | Al Nasr 9.09. The model has a clear lean to Al Ain (75%) — a 64pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.
Goals markets: Over 2.5 probability 73% | BTTS probability 59% | Total xG 3.79. Over 2.5 is the model's clear signal at 73% — a total xG of 3.79 means the expected score alone exceeds the 2.5 threshold, making the Over not just likely but structurally supported by both sides' attack/defence profiles. BTTS probability of 59% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.
Final Verdict
Poisson rates Al Ain as the most likely outcome at 75% — clear model lean. Current-season form corroborates the Poisson lean — partial multi-source support.
The Poisson model projects 3.79 xG in total — Over 2.5 at 73% — strong confidence, supported by form averaging 3.6 goals per game and H2H averaging 3.0 goals per meeting.
Poisson assigns a 59% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Al Ain 70% | Al Nasr 60% BTTS from recent games.
🔮 Your Prediction
Sign in to submit your prediction and see how it compares to the rest of the community.
💡 Key Insights
🏟️ Match Context
• Fixture: Al Ain vs Al Nasr | Competition: Pro League, Regular Season - 20 | Venue: Hazza Bin Zayed Stadium • Kick-off: Friday 17 Mar 2023, 16:30 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing
📊 Statistical Prediction
• Poisson result probabilities: Al Ain 75% | Draw 15% | Al Nasr 11% • Poisson goal markets: Over 2.5 73% | BTTS 59% | xG Al Ain 2.79 / Al Nasr 1.00 • Poisson strength factors: Al Ain attack 1.461 / def 0.874 | Al Nasr attack 0.772 / def 1.254 | league avg home 1.521 / away 1.484 • Poisson stance: Al Ain (75%) — strong lean
🧮 Prediction Model
2.79
Al Ain xG
Expected Goals
1.00
Al Nasr xG
59%
BTTS
89%
Over 1.5
73%
Over 2.5
52%
Over 3.5
Full score-by-score matrix & model internals in the "Full Poisson Detail" section below ↓
⚠️ This analysis is generated algorithmically from statistical data and is intended for informational purposes only. It does not constitute betting advice. Please gamble responsibly.
❓ Frequently Asked Questions
What time does Al Ain vs Al Nasr kick off?
Al Ain vs Al Nasr kicked off at 16:30 on Friday 17 March 2023 at Hazza Bin Zayed Stadium.
What was the final score in Al Ain vs Al Nasr?
Al Ain 0 - 1 Al Nasr.
Where is Al Ain vs Al Nasr being played?
The match is being played at Hazza Bin Zayed Stadium.
What competition is Al Ain vs Al Nasr part of?
Al Ain vs Al Nasr is a Regular Season - 20 fixture in the Pro League (United-Arab-Emirates).
Who is favourite to win Al Ain vs Al Nasr?
Our statistical model gives Al Ain a 75% chance of winning, Al Nasr a 11% chance, and a 15% chance of a draw — making Al Ain the favourite.
Will both teams score in Al Ain vs Al Nasr?
Our model estimates a 59% probability that both Al Ain and Al Nasr will score (BTTS).
Will Al Ain vs Al Nasr have over 2.5 goals?
Our model puts the probability of over 2.5 goals in this match at 73%.
What is the head-to-head record between Al Ain and Al Nasr?
Record (3 meetings): Al Ain 3W | Draws 0 | Al Nasr 0W.
What form are Al Ain and Al Nasr in?
Al Ain (all comps): 7W-3D-0L in 10 | 2.40 PPG | GF 2.90 / GA 1.30 | L5 W-W-W-W-W. Al Nasr (all comps): 3W-2D-5L in 10 | 1.10 PPG | GF 0.70 / GA 1.40 | L5 L-W-L-L-W.
🧮 Model Insight
Where the Numbers Come From
Al Ain's attacking strength (1.46x league average) is weighed against Al Nasr's defensive record (1.25x) to produce a home expected-goals figure of 2.79. Flip it around — Al Nasr's attack (0.77x) against Al Ain's defence (0.87x) — and the away total comes out at 1.00.
These ratings are built from 45/45 games of current-season data — a full enough sample to trust.
Most Likely Scorelines
The model's single most probable exact score is 2-0, at 8.8%. Close behind: 2-1 (8.8%), 3-0 (8.2%). Together the top three scorelines make up 26% of the probability — a moderately spread distribution, typical of a competitive match-up.
Most Likely Outcome
Al Ain Win
75%
1.34
15%
6.84
11%
9.23
Top 3 Most Likely Scorelines
2 β 0
8.8%
Home win
Most likely
2 β 1
8.8%
Home win
3 β 0
8.2%
Home win
Expected Goals & Win Odds
2.79
Al Ain xG
Total xG
3.79
1.00
Al Nasr xG
1.34
75%
Home win
6.84
15%
Draw
9.23
11%
Away win
Goals Markets
89%
Over 1.5
1.12
11%
Under 1.5
9.09
73%
Over 2.5
1.37
27%
Under 2.5
3.70
52%
Over 3.5
1.92
48%
Under 3.5
2.08
33%
Over 4.5
3.03
67%
Under 4.5
1.49
Match Markets
Both Teams to Score
59%
BTTS Yes
1.69
41%
BTTS No
2.46
Clean Sheet
37%
2.72
6%
16.23
Win to Nil
27%
3.65
1%
149.74
Score Probability Matrix (%)
| H \ A | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 2.3 | 2.3 | 1.1 | 0.4 | 0.1 | – |
| 1 | 6.3 | 6.3 | 3.2 | 1.1 | 0.3 | 0.1 |
| 2 | 8.8 | 8.8 | 4.4 | 1.5 | 0.4 | 0.1 |
| 3 | 8.2 | 8.2 | 4.1 | 1.4 | 0.3 | 0.1 |
| 4 | 5.7 | 5.7 | 2.8 | 0.9 | 0.2 | – |
| 5 | 3.2 | 3.2 | 1.6 | 0.5 | 0.1 | – |
Green = home win Β· Grey = draw Β· Amber = away win Β· Outlined cell = most likely score
▶ Model Internals
❓ Frequently Asked Questions
What is the most likely scoreline for Al Ain vs Al Nasr?
Our Poisson model rates 2-0 as the single most likely exact scoreline, at 8.8%.
How many goals are Al Ain and Al Nasr expected to score?
The model projects 2.79 expected goals for Al Ain and 1.00 for Al Nasr, a combined total of 3.79.
How confident is the prediction model for Al Ain vs Al Nasr?
Reasonably confident — the model's leading outcome is rated at 75%, a clear lean rather than a toss-up.
📈 Form Insight
Recent Form Overview
Al Ain come into this having played 45 games, going 32W 9D 4L for 2.33 points per game. Their last five reads W-W-W-W-W. The sample for Al Ain is still a mix of this season and last, given how young the current campaign is.
On the other side, Al Nasr sit at 1.11 PPG from 45 outings (13W 11D 21L), a run that reads L-W-L-L-W across their last five. The sample for Al Nasr is still a mix of this season and last, given how young the current campaign is.
Al Ain carry the stronger recent form of the two, 1.22 PPG clear of Al Nasr — worth weighing alongside whatever the head-to-head and market data say.
How They Fare by Venue
Al Ain's home form reads 16W 5D 1L across 22 games on their own ground, a 2.41 PPG return.
Away from home, Al Nasr have taken 0.91 points per game from 22 outings (4W 8D 10L).
Comparing the two in their relevant venue splits, Al Ain come out ahead — a more targeted read than the overall PPG figures above, since it strips out games played in the opposite context.
Attack vs Defence
Al Ain are averaging 2.40 goals scored and 0.89 conceded per game recently; Al Nasr are on 1.29 scored and 1.56 conceded.
Defensively: Al Ain have kept a clean sheet in 40% of their games — worth knowing if you're weighing up clean-sheet or BTTS-No markets.
Last 45 Results — Pro League
Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)
Al Ain
Blended
Al Nasr
Blended
❓ Frequently Asked Questions
What form are Al Ain and Al Nasr in coming into this match?
Al Ain have gone 32W 9D 4L in their last 45 games (2.33 PPG), while Al Nasr have gone 13W 11D 21L in their last 45 (1.11 PPG).
Which team has the better venue record — Al Ain at home or Al Nasr away?
Al Ain's home record (2.41 PPG) is the stronger of the two venue-specific splits — Al Ain at home: 2.41 PPG; Al Nasr away: 0.91 PPG.
Have Al Ain or Al Nasr been keeping clean sheets recently?
Al Ain have kept a clean sheet in 40% of their recent games, Al Nasr in 24%.
⚔️ Rivalry Insight
The Rivalry So Far
These sides have met 10 times that we have on record, stretching back to December 2021 — a rivalry that has played out across roughly 4 years. Every recorded meeting has come in Pro League. They last met on 14 February 2026, roughly 5 months ago.
Notable Numbers
The last 2 meetings have all been drawn — an unusually settled recent run for this fixture.
For context on how one-sided this fixture can get: Al Ain won 4-1 on 21 Jan 2025, the biggest margin either side has managed in the series.
Specifically as hosts in this fixture, Al Ain have gone 2W 1D 2L from 5 meetings on their own ground against Al Nasr — worth weighing alongside the overall series record.
Last 10 Meetings
5
Al Ain
2
Draws
3
Al Nasr
Recent Meetings
❓ Frequently Asked Questions
What is the head-to-head record between Al Ain and Al Nasr?
From 10 meetings on record, Al Ain have won 5, Al Nasr have won 3, and 2 have been drawn.
When did Al Ain and Al Nasr last play each other?
They last met on 14 February 2026, when Al Ain 1-1 Al Nasr.
Who has won more matches between Al Ain and Al Nasr?
Al Ain have the better head-to-head record, with 5 wins from 10 meetings.
📈 Trading Insight
Early Goal Trends
Al Ain are typically involved in an early goal — the half-time board shows at least one in 82% of their matches. They've gone in front at half-time 41% of the time. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 23% of those situations.
Al Nasr are typically involved in an early goal — the half-time board shows at least one in 68% of their matches. They've gone in front at half-time 41% of the time, though they've let that lead slip 23% of the time they've held it — worth watching if they're only ahead by one.
Full-Time Markets
BTTS sits in mixed territory for this pairing — Al Ain 64%, Al Nasr 64% — no strong lean either way from the trading data alone.
Goals have flowed in these teams' recent matches — Over 2.5 has landed at 64% for Al Ain and 68% for Al Nasr. Stepping up a level, Over 3.5 has also landed reasonably often — 46% and 36% respectively — worth a look for goal-hungry markets.
On the defensive side: Al Ain keep a clean sheet in 36% of their matches; Al Nasr in 27%.
Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue | Venue = Al Ain home games / Al Nasr away games. HT metrics require half-time score data β shown as β where unavailable.
❓ Frequently Asked Questions
Do both teams usually score when Al Ain play Al Nasr?
Yes — based on recent matches, both teams have scored in 64% of Al Ain's games and 64% of Al Nasr's, a combined rate that favours BTTS Yes.
Is Al Ain vs Al Nasr usually a high-scoring fixture?
Recent trends suggest it could be — Over 2.5 goals has landed in 64% of Al Ain's matches and 68% of Al Nasr's.
Do Al Ain and Al Nasr tend to score early?
Al Ain have had a goal before half-time in 82% of their recent matches, Al Nasr in 68% — a useful reference point for first-half goal markets.
Shock result as Al Nasr defy the odds to beat Al Ain 0-1.
📝 Match Report
How It Unfolded
Al Nasr beat Al Ain 0-1 at Hazza Bin Zayed Stadium, Regular Season - 20, in the Pro League. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.
The Model vs The Result
The Poisson model went into this projecting Al Ain 2.79 xG and Al Nasr 1.00 xG, a combined 3.79. The scoreboard read 0-1 for 1 actual goal. Al Ain fell 2.8 short of their projected output. Those figures were built on strength ratings of Al Ain attack 1.46 / defence 0.87 against Al Nasr attack 0.77 / defence 1.25, drawn from 45/45 games (CurrentSeason).
On the result, the model split it Al Ain 75% | Draw 15% | Al Nasr 11%, with Al Ain to win its most likely call at 75%. Instead the game produced a Al Nasr win, an outcome the model had rated at just 11% — a clear break from expectation and a genuine upset by the numbers.
Goals & Markets
The model rated Over 2.5 goals at 73%. The game delivered 1, so it stayed under — against the model's lean. Over 1.5 had been 89% and missed. Over 3.5 was 52% and did not. On both teams to score, the model sat at 59% and the match did not — a miss on BTTS. Historically the two sides average 59% Over 2.5 across their same-competition games (Al Ain 60%, Al Nasr 58%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 53%, which did not match the one-sided outcome.
Trading Patterns vs Reality
Al Ain's trading profile (45 games, 22 home) set some clear expectations: BTTS lands in 58% of their matches — today it did not; they keep a clean sheet 40% of the time, and conceded here.
Al Nasr's trading profile (45 games, 22 away) set some clear expectations: BTTS lands in 49% of their matches — today it did not.
Form vs Result
On form, Al Ain arrived the stronger side — 2.33 PPG against 1.11. Form was overturned, with Al Nasr winning despite arriving in poorer recent shape. Al Ain (home/away splits) managed 0 against a 2.64 scoring average — below par going forward. Al Nasr (home/away splits) conceded 0 against a 1.95 average — tighter than their form line.
Verdict
Grading the result against the stored data, 0 of 4 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss), form (miss). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.
💡 Key Insights
⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.