Union Berlin vs SC Freiburg – Pre-Match Analysis

Poisson rates Union Berlin at 39% — the H2H record provides partial corroboration, though signals are mixed in this Union Berlin vs SC Freiburg encounter.

✍️ Match Preview

Analysis

SC Freiburg make the trip to to face Union Berlin in Bundesliga, Regular Season - 26. The match kicks off on Saturday 13 March 2027 at 14:30 UTC.

Current Form

Union Berlin's overall Bundesliga record this term: 2W 2D 6L from 10 games (0.80 PPG). Last five: W D L L L. Offensively they are averaging 1.60 goals per game, with 2.80 conceded. However, 2.80 goals conceded per game is a concern — opposing attacks have exploited them regularly. 1 clean sheet from 10 outings provides some defensive foundation. Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets. Union Berlin have played only a handful of Bundesliga games so far this season, so this record also draws on matches from last season.

Union Berlin at this season: 2W 4D 4L from 10 home games — 1.00 PPG on home soil. At home they are averaging 1.50 goals scored and 1.90 conceded per game. Both teams have scored in 70% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

SC Freiburg (all games): 6W 2D 2L across 10 Bundesliga outings this term — 2.00 points per game. Last five: W W W W D. Their attacking form is sharp — 2.20 goals per game is a high-output rate that commands respect in the goals markets. 3 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. SC Freiburg have played only a handful of Bundesliga games so far this season, so this record also draws on matches from last season.

SC Freiburg away from home this season: 3W 2D 5L from 10 away games — 1.10 PPG on the road. Away from home they average 1.00 goals scored and 1.80 conceded per game. Their away PPG of 1.10 is notably below their overall 2.00 — form away from home has been a clear weakness this season.

SC Freiburg arrive in superior form — a 1.20 PPG advantage (2.00 vs 0.80) that offsets much of the home-ground benefit. The away side are the form pick, with draw protection the sensible way to manage the home-field uncertainty.

Head-to-Head

Historically, Union Berlin have had the better of this match-up — 5 wins from 10 meetings, with SC Freiburg managing just 1 victories and 4 draws shared.

The 10 previous meetings have averaged 2.3 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 15 Mar 2026, ended 1–0 with Union Berlin winning.

The historical record gives Union Berlin a meaningful edge here — 5 wins from 10 meetings is the kind of ledger that should not be discounted when the form picture is inconclusive. Even away from home, the visitors have struggled to impose themselves in this fixture.

Trading

Union Berlin half-time and goal-timing data (38 games, 19 at home): they score before half-time in 79% of fixtures in home games; when goalless at HT, a second-half goal follows 78% of the time; BTTS occurs in 74% of their matches (home games); Over 2.5 goals lands in 74% of games (home games); Over 3.5 in 53%.

SC Freiburg half-time and goal-timing data (38 games, 19 at away): they score before half-time in 58% of fixtures in away games; when goalless at HT, a second-half goal follows 83% of the time; two or more arrive in the second half on 58% of those occasions; BTTS occurs in 42% of their matches (away games); Over 2.5 goals lands in 58% of games (away games); Over 3.5 in 42%.

From a combined perspective, both sides have high BTTS rates — Union Berlin 60% and SC Freiburg 60% — which reinforces the BTTS Yes angle from in-play data. Over 2.5 goals is well-supported by both sides' in-play profiles (Union Berlin 66% | SC Freiburg 66%).

Poisson Model

The Poisson distribution model projects Union Berlin 1.72 xG and SC Freiburg 1.68 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: Union Berlin attack 0.944 / defence 1.282 | SC Freiburg attack 0.934 / defence 0.908. League average goals — home 2.006 / away 1.400. Data: 38 Union Berlin games / 38 SC Freiburg games used (CurrentSeason).

Result probabilities: Union Berlin 39% | Draw 24% | SC Freiburg 37%. Fair-value odds: Union Berlin 2.56 | Draw 4.17 | SC Freiburg 2.70. This is a low-confidence result — no outcome exceeds 45%. The draw at 24% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 66% | BTTS probability 67% | Total xG 3.40. Over 2.5 is the model's clear signal at 66% — a total xG of 3.40 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 Yes at 67% reflects that both xG figures (1.72 / 1.68) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Verdict

Union Berlin dominate the H2H record, yet SC Freiburg are the in-form side right now — historical edge versus current momentum creates a genuine dilemma.

The Poisson model's primary lean is Union Berlin at 39% — marginal model lean. Note a divergence: in-form SC Freiburg (2.00 PPG) cuts against the Poisson lean — consider the strength-adjusted model over surface-level form results. Draw probability of 24% warrants consideration of Double Chance or Draw No Bet on Union Berlin if the outright odds are short. The opposing side holds a 37% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 3.40 total expected goals, pointing to Over 2.5 at 66% probability — reasonable conviction, supported by form averaging 3.1 goals per game.

On the BTTS market, Poisson puts 67% on Yes. Form rates corroborate: Union Berlin 70% | SC Freiburg 40% BTTS from recent games.

The outsider holds a 37% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

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