Niger Tornadoes vs Katsina United: result 1-1 and analysis
NPFLRegular Season - 6Kick-off on February 5, 2017 at 03:00 PM (UTC)Lokoja Confluence Stadium, Lokoja
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What was the result of Niger Tornadoes vs Katsina United?
Niger Tornadoes and Katsina United drew 1-1 on February 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Niger Tornadoes have 6 wins, 3 draws and 6 defeats; Katsina United have 2, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2017 | Enugu Rangers(away) | 1-1 | NPFL |
| Jan 25, 2017 | Wikki Tourist(home) | 2-0 | NPFL |
| Jan 22, 2017 | Rivers United(away) | 0-1 | NPFL |
| Jan 18, 2017 | ABS(home) | 1-1 | NPFL |
| Jan 15, 2017 | MFM(away) | 0-3 | NPFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2017 | Akwa United(home) | 1-1 | NPFL |
| Jan 25, 2017 | El Kanemi Warriors(away) | 0-1 | NPFL |
| Jan 22, 2017 | Nasarawa United(home) | 1-0 | NPFL |
| Jan 18, 2017 | Abia Warriors(away) | 0-2 | NPFL |
| Jan 15, 2017 | Gombe United(home) | 2-1 | NPFL |
How many goals should we expect?
Niger Tornadoes score 1.1 and concede 1.1 goals per match over their last 15; Katsina United score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Niger Tornadoes | 1.1 | 1.1 | 4 | 5/15 | 4/15 |
| Katsina United | 0.8 | 1.0 | 1 | 2/5 | 1/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Niger Tornadoes sit 8th in NPFL (16 points from 11 matches) and Katsina United sit 9th (16 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Niger Tornadoes | 11 | 4 | 4 | 3 | 9 | 8 | 16 |
| 9 | Katsina United | 11 | 4 | 4 | 3 | 14 | 15 | 16 |
A question about Niger Tornadoes vs Katsina United?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy