What is Flame Sharks's record on Train?
| Metric | Value |
|---|---|
| Maps played | 45 |
| Wins | 28 |
| Losses | 17 |
| Win rate | 62.2% |
| Rounds won | 0 |
| Rounds lost | 0 |
| Round differential | +0 |
| Avg rounds won per map | 0 |
| Avg rounds lost per map | 0 |
What are Flame Sharks's most recent Train results?
Why do Train stats matter for CS2 betting?
Map-specific performance is one of the strongest predictive signals in professional CS2 betting. In the Best-of-3 and Best-of-5 formats used by every Tier-1 tournament, map selection happens before the first round is played — and teams with a clear map-pool advantage beat the closing line at a noticeably higher rate than their head-to-head record suggests. Tracking Flame Sharks's Train sample in isolation removes the noise from their weaker maps and surfaces whether they are genuinely favoured when this map hits the deciding slot in a veto.
Our database records every professional CS2 match since the source-engine transition, so the 45-map sample above represents the full competitive history rather than a rolling window that can be distorted by a single bad tournament. See the CS2 map guide for tactical context on Train, or check the Flame Sharks team page for the full map-pool breakdown.
Flame Sharks & Train — FAQ
Is Train one of Flame Sharks's best maps?
Flame Sharks is clearly above average on Train with a 62.2% win rate. Compare against their strongest and weakest maps on the team page.
How many professional CS2 maps has Flame Sharks played on Train?
Our database tracks 45 professional Train maps for Flame Sharks, including Tier-1 tournaments, Majors, regional leagues and qualifiers. The sample excludes showmatches and unofficial events.
Does Flame Sharks prefer CT or T side on Train?
Side-specific splits are published on the team profile once the sample size exceeds 15 tracked halves. Map-side bias is a secondary indicator; recent form across the last 3 months is typically more predictive for betting purposes.
How we build this page
Every match in our database is ingested from licensed pro-scene data feeds and validated against tournament organiser reports. The Train sample above is filtered to matches where Flame Sharks was a listed participant and the game reached a resolved final score. Maps that ended in technical defaults or were awarded without play are excluded. Our full methodology covers how we handle roster substitutions and stand-ins, which occasionally inflate or deflate single-match ratings without affecting the long-run record shown here.
