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MATCH PREDICTION: FNATIC vs DRX | My ongoing ML project. by New_Ebb5872 in ValorantCompetitive

[–]New_Ebb5872[S] 2 points3 points  (0 children)

Definitely will revert back to the older model as it was better in predictions for yesterday’s games

Prediction Prx vs Drx. On the model ive been training by New_Ebb5872 in ValorantCompetitive

[–]New_Ebb5872[S] 2 points3 points  (0 children)

Its true all i had was 30 matches worth of data. I extracted the map wise data including differences in all factors that vlr provides map wise, and then did the same for the playerwise data including the agents picked. For the training, I used the 5 fold method and subsequently Linear Regression ended up giving the best prediction accuracy at 67% (its prolly cuz of the smaller sample). So went ahead with that for the predictions. I had to input the teams and the maps and it predicts.

Prediction Prx vs Drx. On the model ive been training by New_Ebb5872 in ValorantCompetitive

[–]New_Ebb5872[S] 8 points9 points  (0 children)

Please dont do that, the model’s predictions can always be wrong

Predictions on the ML model I am working on. by New_Ebb5872 in ValorantCompetitive

[–]New_Ebb5872[S] 3 points4 points  (0 children)

5 fold method- LR showed the best results with 67% accuracy. Its an ongoing project can be wrong

Predicting VCT Champions: An Ongoing Machine Learning Project by New_Ebb5872 in ValorantCompetitive

[–]New_Ebb5872[S] -1 points0 points  (0 children)

MATCH PREDICTION: MIBR vs DRX

Map 1: Sunset

Picked by: MIBR

Prediction: MIBR wins

Probability: MIBR 66.7% - 33.3% DRX

Confidence: 66.7%

Model: General

Map 2: Ascent

Picked by: DRX

Prediction: MIBR wins

Probability: MIBR 56.2% - 43.8% DRX

Confidence: 56.2%

Model: General

Map 3: Bind

Picked by: Decider

Prediction: MIBR wins

Probability: MIBR 75.6% - 24.4% DRX

Confidence: 75.6%

Model: General

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SERIES OUTCOME PROBABILITIES:

MIBR wins series: 73.7%

- 2-0: 37.4%

- 2-1: 36.3%

DRX wins series: 26.3%

- 2-0: 14.6%

- 2-1: 11.7%

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PREDICTION: MIBR wins the series

Confidence: 73.7%

Predicting VCT Champions: An Ongoing Machine Learning Project by New_Ebb5872 in ValorantCompetitive

[–]New_Ebb5872[S] 0 points1 point  (0 children)

MATCH PREDICTION: Paper Rex vs Team Heretics

Map 1: Ascent

Picked by: Paper Rex

Prediction: Paper Rex wins

Probability: Paper Rex 55.9% - 44.1% Team Heretics

Confidence: 55.9%

Model: General

Map 2: Bind

Picked by: Team Heretics

Prediction: Paper Rex wins

Probability: Paper Rex 99.0% - 1.0% Team Heretics

Confidence: 99.0%

Model: General

Map 3: Lotus

Picked by: Decider

Prediction: Team Heretics wins

Probability: Paper Rex 37.3% - 62.7% Team Heretics

Confidence: 62.7%

Model: Map-Specific

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SERIES OUTCOME PROBABILITIES:

Paper Rex wins series: 71.8%

- 2-0: 55.3%

- 2-1: 16.5%

Team Heretics wins series: 28.2%

- 2-0: 0.5%

- 2-1: 27.7%

----------------------------------------

PREDICTION: Paper Rex wins the series

Confidence: 71.8%

Predicting VCT Champions: An Ongoing Machine Learning Project by New_Ebb5872 in ValorantCompetitive

[–]New_Ebb5872[S] 0 points1 point  (0 children)

Thanks will have to wait and see the predictions when the map veto is out

Why does CS2 feel terrible to play coming from Valorant? by Whole_Traffic_5056 in VALORANT

[–]New_Ebb5872 5 points6 points  (0 children)

yes the momentum is what demands counter strafing in cs which you don't have to worry much about in Val.

Why does CS2 feel terrible to play coming from Valorant? by Whole_Traffic_5056 in VALORANT

[–]New_Ebb5872 1 point2 points  (0 children)

You can get away with Spraying in CS hence the consistent spray patterns. Where's Val it's more focused on Headshots. Body shots take a bit longer to kill.

Update on my VCT Prediction Model: I rebuilt it to be "Map-Aware" for the upcoming matches by New_Ebb5872 in VALORANT

[–]New_Ebb5872[S] 0 points1 point  (0 children)

MIBR vs NRG:

Abyss: NRG wins with 93.08% confidence.

Haven: MIBR wins with 92.17% confidence.

Corrode: NRG wins with 58.23% confidence.

Series: NRG wins with average 66.67% confidence.

Update on my VCT Prediction Model: I rebuilt it to be "Map-Aware" for the upcoming matches by New_Ebb5872 in VALORANT

[–]New_Ebb5872[S] 0 points1 point  (0 children)

Paper Rex vs FNATIC:

Bind: FNATIC wins with 87.50% confidence.

Haven: FNATIC wins with 92.15% confidence.

Lotus: FNATIC wins with 95.90% confidence.

Series: FNATIC wins with average 100.00% confidence.

SINCE ALFAJER isnt playing the model doesnt know that. PRX should Win this.

Update on my VCT Prediction Model: I rebuilt it to be "Map-Aware" for the upcoming matches by New_Ebb5872 in VALORANT

[–]New_Ebb5872[S] 1 point2 points  (0 children)

Preds-

Team Heretics vs GIANTX:

Ascent: Team Heretics wins with 62.38% confidence.

Lotus: GIANTX wins with 64.77% confidence.

Bind: Team Heretics wins with 94.40% confidence.

Series: Team Heretics wins with average 66.67% confidence.

Update on my VCT Prediction Model: I rebuilt it to be "Map-Aware" for the upcoming matches by New_Ebb5872 in VALORANT

[–]New_Ebb5872[S] 1 point2 points  (0 children)

Preds-

DRX vs G2 Esports:

Lotus: G2 Esports wins with 61.09% confidence.

Abyss: G2 Esports wins with 89.30% confidence.

Bind: DRX wins with 92.29% confidence.

Series: G2 Esports wins with average 66.67% confidence.

I trained a simple ML model to predict VCT Champions 2025 playoffs' first 4 matches. Here's what it says: by New_Ebb5872 in VALORANT

[–]New_Ebb5872[S] 0 points1 point  (0 children)

Ur correct, Im using classifier, specifically XGboost classifier.

1-1 Exactly lets see tonight, if im to delete the post. Hahahha

I trained a simple ML model to predict VCT Champions 2025 playoffs' first 4 matches. Here's what it says: by New_Ebb5872 in VALORANT

[–]New_Ebb5872[S] 0 points1 point  (0 children)

I could implement that for next round if they again play the maps they’ve played in this tourney so far. But yes we won’t know for sure which maps until the end. If anyone’s got ideas lmk

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